Research Article
Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition
@INPROCEEDINGS{10.1007/978-3-030-67874-6_34, author={Tao Lei and Xiao-gang Zhu}, title={Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition}, 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={Pattern recognition Image adaptation Segmentation algorithm}, doi={10.1007/978-3-030-67874-6_34} }- Tao Lei
Xiao-gang Zhu
Year: 2021
Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_34
Abstract
Based on the comprehensive research of image segmentation technology, an adaptive segmentation algorithm based on pattern recognition for image weak targets is proposed. By systematically designing the image segmentation algorithm by analyzing the algorithm requirements and principles, the modules such as image preprocessing, weak target detection, image feature extraction and adaptive threshold selection are designed and implemented according to the algorithm implementation flow. In order to verify the experimental performance of the algorithm, experimental analysis shows that the adaptive image segmentation algorithm can be used to preserve image details, improve the quality of the segmented image, and shorten the image segmentation time.
