Image Processing and Analysis Jia Yonghong, Wuhan University

"Image Processing and Analysis" is intended to enrich students' knowledge of image processing and analysis, and cultivate students' interest in learning, innovative thinking and practical ability in image processing and analysis. The purpose is to allow students to deeply understand the concept of image processing, master the methods and skills of image processing and analysis, and understand the development and application of digital image processing.

• Chapter 1：Digital image processing concepts (8 minutes and 27 seconds)

• Chapter 2：Contents and Characteristics of Digital Image Processing (7 minutes and 49 seconds)

• Chapter 3：Digital image processing applications (7 minutes and 32 seconds)

• Chapter 4：Image digitization (11 minutes and 20 seconds)

• Chapter 5：Image grayscale histogram (4 minutes and 18 seconds)

• Chapter 6：digital image processing algorithm form (7 minutes and 2 seconds)

• Chapter 7：Image data structure (9 minutes and 46 seconds)

• Chapter 8：Feature categories of images (5 minutes and 43 seconds)

• Chapter 9：Preliminary knowledge of image transformation (11 minutes and 39 seconds)

• Chapter 10：Fourier transform and its properties (12 minutes and 5 seconds)

• Chapter 11：Point operations for image enhancement (9 minutes and 42 seconds)

• Chapter 12：Histogram equalization (8 minutes and 54 seconds)

• Chapter 13：Image enhancement - spatial domain smoothing of images (9 minutes and 20 seconds)

• Chapter 14：Median filtering method (4 minutes and 1 seconds)

• Chapter 15：Spatial domain sharpening of images (5 minutes and 4 seconds)

• Chapter 16：frequency domain enhancement (4 minutes and 32 seconds)

• Chapter 17：False color enhancement (8 minutes and 2 seconds)

• Chapter 18：false color composite (7 minutes and 28 seconds)

• Chapter 19：color change (7 minutes and 27 seconds)

• Chapter 20：Image degradation model (7 minutes and 19 seconds)

• Chapter 21：Image inverse filter restoration (6 minutes and 4 seconds)

• Chapter 22：Image geometry correction (13 minutes and 25 seconds)

• Chapter 23：Image compression overview (16 minutes and 16 seconds)

• Chapter 24：Image Fidelity Guidelines (6 minutes and 42 seconds)

• Chapter 25：statistical coding methods (7 minutes and 47 seconds)

• Chapter 26：Image compression standards (9 minutes and 1 seconds)

• Chapter 27：edge detection (15 minutes and 10 seconds)

• Chapter 28：Hough transform detects straight lines (10 minutes and 19 seconds)

• Chapter 29：Region segmentation (11 minutes and 3 seconds)

• Chapter 30：regional growth (7 minutes and 50 seconds)

• Chapter 31：split-merge method (5 minutes and 51 seconds)

• Chapter 32：Connectivity and distance of binary images (14 minutes and 16 seconds)

• Chapter 33：Deformation operations on connected components (16 minutes and 51 seconds)

• Chapter 34：Shape feature extraction (10 minutes and 44 seconds)

• Chapter 35：Texture Analysis Overview (8 minutes and 5 seconds)

• Chapter 36：Histogram Analysis of Image Texture (4 minutes and 38 seconds)

• Chapter 37：Laws Texture Energy Measurement Method (3 minutes and 6 seconds)

• Chapter 38：Autocorrelation function method for texture analysis (2 minutes and 20 seconds)

• Chapter 39：Gray level co-occurrence matrix analysis method (13 minutes and 2 seconds)

• Chapter 40：template matching (16 minutes and 17 seconds)

• Chapter 41：Image recognition overview (7 minutes and 52 seconds)