Abstract
Image Boundary, Corner, and Edge Detection: Past, Present, and Future
Highlights
Image boundary detection techniques are actively used in computer vision applications including image segmentation, classification, and object recognition
This paper presents a thorough review of image processing tasks such as boundary, corner, and edge detection
The authors have made efforts to collect maximal information on image processing topics, and they have classified the paper into three subtopics: boundary detection, corner detection, and edge detection
Summary
Image boundary detection techniques are actively used in computer vision applications including image segmentation, classification, and object recognition. Numerous techniques have been developed to accomplish this task of corner detection for applications related to computer vision such as motion tracking [6], stereo matching [7], image registration [8], object recognition [9], shape detection, and camera calibration [10], [11]. In applications such as analysis of images based on a feature, the detection of corners plays a chief role, because corners are considered as the most noticeable points in the intensity landscape when compared to other image features. In [15] projected the hardware execution of edge detection in precise integrated circuit (IC) applications via a Sobel operator with the assistance of the VLSI technology
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