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Computer Vision

Title

What is computer vision? (word1word2)

Edge Detection (ppt 1),(ppt 2), Assignments (exercise1)

Image Segmentation (ppt 3), Examples (rar 1)

Hough Transform (ppt 4)

Chapter 9 - Morphological Image Processing (ppt5ppt6ppt7)

Chapter 11 - Representation and Description (ppt8)

Local Interest Points (ppt9)

Lecture 06 - Computing Optical Flow (ppt10)

Lecture 07 - Pyramids (ppt11)

Lecture 10 - KLT Tracking (ppt12)

Mean Shift Tracking (ppt13)

Feature Selection (ppt14)

Fundamental Matrix (ppt15)


Digital Image Processing

 

Title

Chapter 1 - Introduction (PPT1)

Chapter 2 - Digital Image Fundamentals (PPT2)

Chapter 3 - Intensity Transformations and Spatial Filtering (PPT3)

      Signals and systems (PPT4)

   Image Transformations (PPT5)

Chapter 4 - Filtering in the Frequency Domain (PPT6)

Chapter 5 - Image Restoration and Reconstruction (PPT7PPT8PPT9PPT10)

Chapter 6 - Color Image Processing (PPT11)

Chapter 7 - Wavelet and Multiresolution Processing (PPT12)

Chapter 8 - Image Compression (PPT13)

Chapter 9 - Morphological Image Processing (PPT14PPT15PPT16)

Chapter 10 - Image Segmentation (PPT17PPT18)

Chapter 11 - Representation and Description (PPT19)

Chapter 12 - Object Recognition (PPT20PPT21)

 

Assignments

Exercises of DIP 1
Exercises of DIP 2