K. K. BISWAS

CT73 DIGITAL IMAGE PROCESSING

1. Introduction 3 Hours

1.1. What is digital image processing?

1.2. Applications – X-ray imaging, in visible band

1.3. Fundamental steps in DIP (1.4)

1.4. Representing digital Images

1.4.1. sampling and quantization

1.4.2. representation

1.4.3. spatial and intensity resolution

1.5 RGB and HSI color models

2. Intensity transformation and spatial filtering 6 Hours

2.1. Basic transformations

2.2. Histogram processing

2.3. Histogram equalizing

2.4. Spatial filtering

2.5. Smoothing spatial filters

2.6. Sharpening filters – the Laplacian

2.7. Highboost filtering

2.8. First order derivative for image sharpening

3. Image Segmentation 9 Hours

3.1. Region segmentation

3.2. Detection of isolated points

3.3. Line detection

3.4. Edge detection

3.4.1.1. Sobel and Prewitt filters

3.4.1.2. Laplace of Gaussian LoG filter

3.4.1.3. Canny edge detector

3.5. Hough Transform – line and circle detection

3.6. Image Thresholding

3.7. Region based Segmentation – splitting and merging

4. Filtering in Frequency Domain 5 Hours

4.1. Fourier Transform

4.2. Convolution

4.3. Discrete Fourier Transform

4.4. Image smoothing using frequency domain filters

4.5. Image sharpening

5. Representation and Description 6 Hours

5.1. Boundary following, chain codes

5.2. Boundary descriptors

5.2.1.1. Shape numbers

5.2.1.2. Fourier Descriptors

5.2.1.3. Statistical moments

5.2.1.4. Texture – graylevel co-occurrence matrix

5.2.1.5. Principal Components for description

6. Image compression 8 hours

6.1. Huffman coding

6.2. LZW coding

6.3. Bit plane coding

6.4. Block Transform coding – DCT coding

6.4.1. DCT coding

6.4.2. Bit allocation

6.4.3. Zonal coding

6.4.4. Threshold coding

6.4.5. JPEG standard

6.5. Wavelet coding – Haar Transform

7. Morphological Processing 4 Hours

7.1. Structuring elements

7.2. Erosion and Dilation

7.3. Opening and Closing

7.4. Hit-or-Miss transformation

7.5. Boundary extraction

7.6. Hole Filling

7.7. Extraction of connected components

7.8. Thinning

7.9. Segmentation using morphological watersheds

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Text Book:

Digital Image Processing by Gonzalez and Woods, Third Edition, Pearson Prentice Hall, low price edition, 2008