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Nguyễn Công Phương
DIGITAL IMAGE PROCESSING
Edge Detection
Contents
I. Introduction to Image Processing & Matlab II. Image Acquisition, Types, & File I/O
III. Image Arithmetic
IV. Affine & Logical Operations, Distortions, & Noise in Images V. Image Transform
VI. Spatial & Frequency Domain Filter Design VII. Image Restoration & Blind Deconvolution VIII. Image Compression
IX. Edge Detection
X. Binary Image Processing
XI. Image Encryption & Watermarking XII. Image Classification & Segmentation XIII. Image – Based Object Tracking
XIV. Face Recognition
XV. Soft Computing in Image Processing
sites.google.com/site/ncpdhbkhn 2
Edge Detection
1. Introduction
2. The Sobel Operator 3. The Prewitt Operator 4. The Canny Operator
5. The Zero-Crossing Detector 6. The Unsharp Filter
sites.google.com/site/ncpdhbkhn 3
Introduction
• In some applications, only certain areas of interest are isolated to be processed for further stages of processing edge detection.
• Edge: a sudden change of intensity in an image.
• In binary image, an edge corresponds to a sudden change in intensity level to 1 from 0, & vice versa.
• Too many edges represent a “rough” image.
• Too few would correspond to a relatively “smoother” image.
sites.google.com/site/ncpdhbkhn 4
Edge Detection
1. Introduction
2. The Sobel Operator 3. The Prewitt Operator 4. The Canny Operator
5. The Zero-Crossing Detector 6. The Unsharp Filter
sites.google.com/site/ncpdhbkhn 5
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