A Tutorial On Ip 2
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The document discusses real-time image processing and different approaches for acquiring and processing images and video in real-time. It compares libraries and frameworks like OpenCV, DirectShow, and Vision SDK. OpenCV is highlighted as it provides both high-level and low-level functions for tasks like image acquisition, processing, and display and has become popular for real-time applications due its open source nature and support. Sample code in OpenCV is also provided to demonstrate a basic real-time video processing application.
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Check out details of the other Lumia App Labs, including the future schedule, here: http://www.developer.nokia.com/Develop/Windows_Phone/Learn/
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An Introduction to Computer Science with Java .docx
An Introduction to
Computer Science with Java
Copyright 2013 by C. Herbert, all rights reserved.
Last edited August 21, 2013 by C. Herbert
This document is a draft of a chapter from Computer Science with Java, written by Charles Herbert with the assistance of Craig
Nelson. It is available free of charge for students in Computer Science 111 at Community College of Philadelphia during the Fall
2013 semester. It may not be reproduced or distributed for any other purposes without proper prior permission.
CSCI 111 Chapter 11 Graphics pg. 2
Introduction to
Computer Science with Java
Chapter 11 – Java Graphics
This short chapter describes how programmers can create and manipulate two-dimensional graphics in
Java. It includes creating.
Chapter Learning Outcomes
Upon completion of this chapter students should be able to:
Describe what a graphics processing unit (GPU) is and why GPUs are used
with modern computers.
Describe what the java.awt.Canvas and java.awt.Graphics classes are and
how they are used.
Describe how to do each of the following using the Java Graphics class:
o setting the Color for graphics;
o drawing lines;
o drawing rectangles, and rectangles with rounded corners;
o drawing ovals, circles, and arc of ovals and circles;
o drawing polygons;
o drawing text on the screen.
Describe how to create graphs and charts illustrating business and scientific data.
Create software that uses the Java Graphics class to create figurative and abstract images.
11.1 Overview of Graphics Programming in Java
Graphics programming in Java is done through the use of APIs, including the java.awt.Graphics class and
the Java 2D API that are both part of AWT; Java OpenGL (JOGL), Java 3D (J3D), and Java Advanced
Imaging (JAI), which are official Java APIs; and many third party APIs, such as the Java LightWeight
Game Library (JLWGL). The graphics capabilities in the AWT and the Java OpenGL graphics libraries are
by far the most commonly used.
In this chapter we will focus on creating simple graphics and concepts of graphics programming using
the graphics classes included in AWT, which will allow us to create and manipulate simple graphic
images that can be displayed using the same containers as those used for Swing components.
The graphics capabilities in AWT should work equally as well on Windows, Mac and Linux-based
systems, although specialized coding for certain devices and unique hardware configurations may
require the use of specialized APIs.
CSCI 111 Chapter 11 Graphics pg. 3
Generally, instructions in Java, as in any programming language are fed through the operating system to
the computer’s hardware. In the case of graphics programming, an additional component is often
present – a graphics processing unit. A graphics processing unit (GPU), often called a graphics
accelerator, is a specialized processing unit for rendering high quality im ...
Introduction to java advanced imaging
Java relies on the C and C++ development ‘languages’, but differs from these ‘languages’ is some important ways.
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This document describes a student project to detect object movement using a webcam. The project uses Python and OpenCV libraries. Key steps include capturing video frames, comparing frames to detect differences indicating movement, and highlighting the moving regions. The project aims to build a low-cost motion detection system for home users. It analyzes image frames to detect movement and displays the regions in separate color, gray, delta, and threshold frames for clear understanding.
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