Comparative Analysis of Edge Detection Techniques

Comparative Analysis of Edge Detection Techniques

Paperback (21 May 2019)

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Publisher's Synopsis

Segmentation of images is a major task of image processing. It is a long standing problem in computer vision as there is no general segmentation procedure that can deal with all sorts of images. Different fundamental algorithms of image segmentation are implemented like Edge Detection (Discontinuity based Segmentation), Region Growing (Similarity Based Segmentation), Iterative Thresholding Method. The purpose of this report is to use edge detection and Thresholding based on edge operators of the images of license plates, name plates and sign boards. Five operators used are Prewitt, Roberts, Sobel, LoG and Canny and towards the end all these operators are compared on the basis of results. In the method mathematical morphological operations also plays a significant role. Two morphological operations used are Dilation and holes filling process. Dilation helps in thickening the edges of characters and holes filling process enhanced the visual appearance of the images. The proposed system has been implemented using MATLAB.

Book information

ISBN: 9786200095657
Publisher: KS Omniscriptum Publishing
Imprint: LAP Lambert Academic Publishing
Pub date:
Language: English
Number of pages: 116
Weight: 181g
Height: 229mm
Width: 152mm
Spine width: 7mm