Research Article
Automatic Color Image Segmentation Based on Visual Characteristics in Cloud Computing
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@INPROCEEDINGS{10.1007/978-3-030-67874-6_27, author={Jia Wang and Jie Gao}, title={Automatic Color Image Segmentation Based on Visual Characteristics in Cloud Computing}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Visual characteristics Color image Segmentation method}, doi={10.1007/978-3-030-67874-6_27} }- Jia Wang
Jie Gao
Year: 2021
Automatic Color Image Segmentation Based on Visual Characteristics in Cloud Computing
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_27
Abstract
Aiming at the problems existing in traditional color image segmentation methods, namely, image noise and image quality are poor, a color image automatic segmentation method based on visual characteristics is proposed. The method first analyzes the human visual characteristics, then uses the weighted average method to grayscale the color image, then uses the histogram equalization method to enhance the image, and then detects the edge of the image through the binary wavelet, and finally in the image. Image segmentation based on edge detection. The results show that compared with the traditional image segmentation method, the segmented color image of this method has a SNR of 5.3 dB, less noise and improved image quality.
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