Open AccessResearch on Image Segmentation Algorithm Based on Information Theory
Author(s) -
Shuhan Ding,
Yuan Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1453/1/012013
Subject(s) - image segmentation , segmentation based object categorization , scale space segmentation , computer science , artificial intelligence , image processing , segmentation , computer vision , image (mathematics) , region growing , homogeneous , encode , image texture , pattern recognition (psychology) , digital image processing , algorithm , mathematics , biochemistry , chemistry , combinatorics , gene
With the development of science and technology, the requirements of images processing have been greatly improved. When processing complicated images, segmentation can be firstly applied, which makes the characteristics of the image more distinct, and divides the image into multiple regions with homogeneous properties for subsequent processing. And the image segmentation algorithm based on information theory is one significant technology, which can identify, compress, and encode images, with relatively high accuracy. This paper introduces the principles of information theory and image segmentation, and research on image segmentation algorithm based on information theory, hoping to promote the better development of image processing.