Abstract: Image segments are basically the useful parts of an image of out interest that is possible because of image segmentation. This image which is broken into useful parts is known as sets mathematically whereas the segments are called this set’s subsets. The segmentation of objects meets all the laws of the set theory. Such subsets or segments give us an idea to better understand the picture. The image segmentation process is important for extraction of higher-level features, and this process depends on the characteristics of an object such as point, line, edge, and area. Object segmentation plays a vital role, but it is tough because object segmentation accuracy determines the success or failure of an image’s computerized analysis method. Here are the approaches that can divide an object into corresponding partitions using methods based on edge detection, threshold and area.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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