Foundations Of Matlab Programming
Basic Image Processing Concepts and Terminologies
-
Overview of Image Processing (2:23)
-
Understanding Image Color and Resolution (4:00)
-
Coding : Reading and Writing Image (8:57)
-
Coding : More on Displaying Images (4:30)
-
Understanding Image Formats and Datatypes (3:31)
-
Coding : RGB to Grayscale Conversion (1:54)
-
Coding : RGB to HSV Conversion (5:09)
-
Coding : Extracting RGB Color Channels (4:33)
-
Overview of Image Processing Techniques (5:02)
-
Coding : Performing Image Binarization (5:56)
-
Getting familiar with some commonly used terms (2:12)
-
Overview of Image Processing Applications in Computer Vision (3:40)
Arithmetic Operations
Histogram and Equalization
Geometric Operations
Image Enhancement Techniques
Gray Level Transformation
Neighborhood Processing
-
Introduction to Neighborhood Processing (1:47)
-
Convolution And Correlation (5:57)
-
Introduction to 2-D Convolution and Correlation (2:44)
-
Coding : Convolving an Image with Gaussian Blur and Motion Blur Kernels (8:18)
-
Introduction of Low-pass Filters (2:09)
-
Coding : Adding Gaussian and Salt & Pepper Noise to an Image (5:02)
-
Coding : Performing Noise Reduction using a Gaussian Filter (9:41)
-
Coding : Performing Noise Reduction using a Mean Filter (8:30)
-
Coding : Performing Noise Reduction using a Median Filter (9:06)
Edge-Detection
Closing
