Image Processing Introduction
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Image Processing Introduction

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Image Processing Introduction

Image Processing Introduction

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  • 1. Image Processing Manish T I IPRG - www.iprg.co.inImage Processing Research Group www.iprg.co.in
  • 2. Image Processing 2-D function f(x,y) x,y spatial coordinate Amplitude of f –> intensity or gray level of the image at that point Spatial - Direct manipulation of pixels The intensity of a pixel is expressed within a given range between a minimum and a maximum, inclusive. This range is represented in an abstract way as a range from 0 (total absence, black) and 7(total presence, white), with any values in between.8-bit 10x8 pixels gray scale image 0 0 1 1 1 1 1 1 1 1 1 1 7 7 7 7 7 7 7 7 1 0 2 7 7 7 7 7 7 7 7 1 0 3 1 1 1 0 6 6 6 6 1 0 4 5 1 1 1 0 6 6 6 6 1 0 6 1 1 1 0 5 5 5 6 0 0 7 1 1 1 0 5 5 5 6 1 0 1 0 0 0 0 0 0 0 0 0 Image Processing Research Group www.iprg.co.in
  • 3. HistogramImage Processing Research Group www.iprg.co.in
  • 4. Application Areas • Detect Infrastructure Damage Caused by Earthquakes Image Processing Research Group www.iprg.co.in
  • 5. • Geospatial Data AnalysisImage Processing Research Group www.iprg.co.in
  • 6. • Aerospace & DefenseImage Processing Research Group www.iprg.co.in
  • 7. Research Problems in Image Segmentation• Noise in the image• Multiple object similar to Region/Object of interest• Multiple Region/Object of interest to be extracted• Extraction of unwanted Region/Object by algorithm• Speed of Algorithm• Region/Object of interest storage Image Processing Research Group www.iprg.co.in
  • 8. Image with & without NoiseAn image containing salt-and-pepper noise will have dark pixels in brightregions and bright pixels in dark regions. This type of noise can be causedby analog-to-digital converter errors, bit errors in transmission, etc
  • 9. Multiple object similar to Region/Object of interest
  • 10. Image Segmentation Methods • Clustering methods • Histogram-based methods • Edge detection • Split-and-merge methods • Watershed transformation • Region Merging & GrowingImage Processing Research Group www.iprg.co.in
  • 11. References:• Digital Image Processing 3rd Edition ; Pearson Education; Gonzalez & Woods• Image Processing Research Group [IPRG] (www.iprg.co.in) Thank You