Raster Scan Graphics, Line Drawing Algorithm and Circle Drawing Algorithm
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This presentation contains - - Characteristics of line drawing algorithm - DDA Line Drawing Algorithm - Bresenham's Line Drawing Algorithm - Circle Drawing Algorithm - Eight way symmetry of a circle - Breseham's Circle Drawing Algorithm - Midpoint Circle Algorithm
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BRESENHAM’S LINE DRAWING ALGORITHM
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Bresenham's line drawing algorithm
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This document discusses the Digital Differential Analyzer (DDA) algorithm, which is a basic line drawing algorithm used in computer graphics. The DDA algorithm uses slope-intercept form (y=mx+b) to incrementally calculate pixel positions along the line between two points. It handles cases where the slope is less than or greater than 1 by incrementing either the x or y coordinate by 1 at each step. The DDA algorithm is simple to implement but requires floating point calculations and has orientation dependency issues.
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The Cohen-Sutherland algorithm divides the plane into 9 regions and uses 4-bit codes to encode whether each endpoint of a line segment is left, right, above, or below the clipping window. It then uses the endpoint codes to either trivially accept or reject the line segment, or perform clipping by calculating the intersection point of the line with the window boundary and replacing the outside endpoint. The main steps are to assign codes to endpoints, AND the codes to check for trivial acceptance or rejection, clip by replacing outside endpoints if needed, and repeating for other line segments.
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Cohen-Sutherland Line Clipping Algorithm
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When drawing a 2D line on screen, it might happen that one or both of the endpoints are outside the screen while a part of the line should still be visible. In that case, an efficient algorithm is needed to find two new endpoints that are on the edges on the screen, so that the part of the line that's visible can now be drawn. This way, all those points of the line outside the screen are clipped away and you don't need to waste any execution time on them.
A good clipping algorithm is the Cohen-Sutherland algorithm for this solution.
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The document discusses line drawing algorithms in computer graphics. It defines a line segment and provides equations to determine the slope and y-intercept of a line given two endpoints. It then introduces the Digital Differential Analyzer (DDA) algorithm, an incremental scan conversion method that calculates the next point on the line based on the previous point's coordinates and the line's slope. The algorithm involves less floating point computation than directly using the line equation at each step. An example demonstrates applying DDA to scan convert a line between two points. Limitations of DDA include the processing costs of rounding and floating point arithmetic as well as accumulated round-off error over long line segments.
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The document discusses line drawing algorithms in computer graphics. It defines a line segment and provides equations to determine the slope and y-intercept of a line given two endpoints. It then introduces the Digital Differential Analyzer (DDA) algorithm, an incremental scan conversion method that calculates the next point on the line based on the previous point's coordinates and the line's slope. The algorithm involves less floating point computation than directly using the line equation at each step. An example demonstrates applying DDA to scan convert a line between two points. Limitations of DDA include the processing costs of rounding and floating point arithmetic as well as accumulated round-off error over long line segments.
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The document discusses various raster algorithms including raster displays, monitor intensities, RGB colour, line drawing, and simple anti-aliasing. It provides details on how raster displays work by representing images as a grid of pixels stored in a frame buffer and scanned line by line on the screen. It also describes how monitor intensities are represented digitally and processed, the RGB color model, algorithms for line drawing including DDA and Bresenham's, and different methods for simple anti-aliasing like supersampling.
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This document discusses techniques for modeling curves and surfaces in computer graphics. It introduces three common representations of curves and surfaces: explicit, implicit, and parametric forms. It focuses on parametric polynomial forms, specifically discussing cubic polynomial curves, Hermite curves, Bezier curves, B-splines, and NURBS. It also covers rendering curves and surfaces by evaluating polynomials, recursive subdivision of Bezier polynomials, and ray casting for implicit surfaces like quadrics. Finally, it discusses mesh subdivision techniques like Catmull-Clark and Loop subdivision for generating smooth surfaces.
3 d viewing projection
The document discusses different methods for 3D display and projection. It describes parallel projection, where lines of sight are parallel, and perspective projection, where lines converge at vanishing points. The key types of projection are outlined as parallel (orthographic and oblique) and perspective. Orthographic projection uses perpendicular lines, while oblique projection uses arbitrary angles. Perspective projection creates realistic size variation with distance and can have one, two, or three vanishing points.
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Straight-line drawing algorithms are based on incremental methods.
In incremental method line starts with a straight point, then some fix incrementable is added to current point to get next point on the line and the same has continued all the end of the line.
Polygon filling
This document discusses different algorithms for filling polygons in computer graphics, including the scan-line fill algorithm, boundary fill algorithm, and flood fill algorithm. The scan-line fill algorithm involves horizontally scanning a polygon from bottom to top and identifying edge intersections with the scan line. The boundary fill algorithm starts at an interior point and recursively fills outward until the boundary color is encountered. The flood fill algorithm replaces all pixels of a specified interior color with a fill color within connected regions. Pseudocode and examples are provided for each algorithm.
Computer graphics
The document discusses algorithms for drawing circles and filling polygons on a computer screen. It covers the mid-point circle algorithm for determining pixel positions on a circle, as well as boundary filling and flood filling algorithms for coloring the interior of polygon shapes. The mid-point circle algorithm uses a decision parameter to iteratively calculate pixel coordinates on the circle path. Filling algorithms like boundary fill use recursion to color neighboring pixels of the same color as the initially selected point.
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The document discusses curve and text clipping techniques. It describes three methods for curve clipping: fully in, fully out, and partially in the clip window. It also outlines three approaches to text clipping: all-or-nothing string clipping, all-or-nothing character clipping, and individual character clipping where parts of characters outside the window are clipped off. The document was written by Arvind Kumar on curve and text clipping algorithms.
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Cubic curves are commonly used in graphics because curves of lower order commonly have too little flexibility, while curves of higher order are usually considered unnecessarily complex and make it easy to introduce undesired wiggles.
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This document discusses various two-dimensional geometric transformations including translations, rotations, scaling, reflections, shears, and composite transformations. Translations move objects without deformation using a translation vector. Rotations rotate objects around a fixed point or pivot point. Scaling transformations enlarge or shrink objects using scaling factors. Reflections produce a mirror image of an object across an axis. Shearing slants an object along an axis. Composite transformations combine multiple basic transformations using matrix multiplication.
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Clipping is a procedure that identifies portions of an image that are inside or outside a specified region. The Cohen-Sutherland algorithm is commonly used for clipping lines. It assigns binary codes to line endpoints to determine if they are fully inside, outside or intersect the clipping region. If an endpoint is outside, it calculates the intersection with the clipping boundary. This clips the line segment down to the visible portion within the region.
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Animation is the process of generating moving images using computer graphics. It involves creating a storyboard to outline the motion sequences, defining the objects participating in the action, and specifying key frames that define the starting and ending points of transitions. Intermediate frames are generated between key frames through tweening or in-betweening to give the appearance that one image evolves smoothly into the next and create the illusion of motion.
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chapter 3 , foley.pptxhuujjjjjjjkjmmmm. Ibibhvucufucuvivihohi
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Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsBob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
bordetella pertussis.................................ppt
Bordettela is a gram negative cocobacilli spread by air born drop let
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Cytokines and their role in immune regulation.pptx
This presentation covers the content and information on "Cytokines " and their role in immune regulation .
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Recently uploaded (20)
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
bordetella pertussis.................................ppt
bordetella pertussis.................................ppt
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
Equivariant neural networks and representation theory
Equivariant neural networks and representation theory
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
Raster Scan Graphics, Line Drawing Algorithm and Circle Drawing Algorithm
- 1. Raster Scan Graphics Presented by Asst. Prof. Aparna Joshi
- 2. Rasterization • The process of determining which pixel will provide the best approximation to the desired line is known as ‘Rasterization’.
- 3. Characteristics of Line Drawing Algorithm • The line should appear straight. • Displayed line should have constant brightness along their length. • The line should be start and end accurately. • Lines should have constant density,. • Line density should be independent of line length and angle. • Lines should be drawn rapidly.
- 4. DDA Line Drawing Algorithm 1. Read the line end points (x1, y1) & (x2, y2) such that they are not equal. (If equal then plot that single point and exit) . 2. Approximate the line length, If absolute (x2-x1) >= absolute (y2-y1) then length = absolute (x2-x1) else length = absolute (y2-y1) 3.
- 5. DDA Line Drawing Algorithm 4. Using the sign function, make the algorithm work in all quadrant x = x1+0.5 * sign ( ∆x) y = y1 + 0.5 * sign (y) Here, x1 & y1 are initial values. 5. Begin main loop i = 1 while (i < = length) { plot (integer (x), Integer (y)) x= x+x y = y+y i = i + 1 } end while 6. Finish / Stop
- 6. DDA Line Drawing Algorithm Advantages: • It is the simplest algorithm & it does not require special skills for implementation. • It is a faster method for calculating pixel positions than the direct use of equation y = m.x + b • It eliminates the multiplication in the equation by making use of raster characteristics, so that appropriate increments are applied in the x or y direction to find the pixel positions along the line path. • It is very easy to understand and implement. Disadvantages: • Floating point arithmetic in DDA algorithm is still time-consuming. • The algorithm is orientation dependent. Hence end point accuracy is poor. • It drifts away from the actual line path because of rounding off float values into integer.
- 7. Bresenham’s Line Drawing Algorithm
- 9. Eight-way Symmetry of a Circle
- 10. Bresenham’s Circle Drawing Algorithm
- 12. Thank You