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This article designs a high-precision matching algorithm for multi-image segmentation of micro animation videos in mobile network environments. Fully denoise micro animation video images using 2D High Density Discrete Wavelet Transform (HD-DWT), and apply fixed block count segmentation to process micro animation video images; Using Harris algorithm to complete image corner detection and obtain corner features of sub images; In the K-means clustering algorithm, SIFT feature vectors are divided into clusters and paired with the nearest neighbor cluster in another sub image to form a sub image matching pair, completing block based sub image matching; Combine all sub image matching results to obtain video image matching results, and use the Improved Random Sampling Consistency (RANCAS) algorithm to remove incorrect matching during the matching process, improving matching accuracy. The experimental results show that the designed algorithm can effectively reduce image noise, improve image quality, and generate a large number of matching pairs in mobile network environments. After the application of the designed algorithm, the production effect of micro animated videos in mobile networks can be significantly improved.<\/jats:p>","DOI":"10.1007\/s11036-023-02278-5","type":"journal-article","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T07:01:45Z","timestamp":1700895705000},"page":"1662-1672","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["High-Precision Matching Algorithm for Multi-Image Segmentation of Micro Animation Videos in Mobile Network Environment"],"prefix":"10.1007","volume":"28","author":[{"given":"Yehui","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youcef","family":"Djenouri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,25]]},"reference":[{"issue":"11","key":"2278_CR1","first-page":"1268","volume":"16","author":"Y Shi","year":"2021","unstructured":"Shi Y, Huang H, Hung C, Yao CC, Jie YY, Han CC (2021) An efficient spectrum scheduling mechanism using markov decision chain for 5G mobile network. 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