{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:36:31Z","timestamp":1757543791384,"version":"3.37.3"},"reference-count":17,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T00:00:00Z","timestamp":1658448000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Jiangsu Graduate Practical Innovation Project","award":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"],"award-info":[{"award-number":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"]}]},{"name":"Natural Science Research of Jiangsu Province Colleges and Universities","award":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"],"award-info":[{"award-number":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"],"award-info":[{"award-number":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012039","name":"Yancheng Institute of Technology","doi-asserted-by":"publisher","award":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"],"award-info":[{"award-number":["SJCX21_1517","SJCX22_1685","19KJA110002","61673108","XJR2022001"]}],"id":[{"id":"10.13039\/100012039","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2022,7,22]]},"abstract":"<jats:p>In the process of the development of image processing technology, image segmentation is a very important image processing technology in the field of machine vision, pedestrian detection, medical imaging, and so on. However, the traditional image segmentation technology cannot solve the problems of reflection and uneven illumination. This paper presents a local threshold segmentation method based on FPGA, which can automatically select the optimal threshold according to different gray levels of images. First, the image is processed by mean filtering to remove noise interference in the image. Then, the idea of the mean value of the local neighborhood block and the Gaussian weighted sum in the local neighborhood is used to deal with the reflective and uneven light on the image. The process is designed and realized on FPGA. Finally, the design algorithm is verified by ModelSim simulation software and QT5 software. The experimental results show that the algorithm can effectively solve the problems of reflection and uneven illumination on the image surface, and the segmentation effect is significantly improved compared with the fixed threshold algorithm and Otsu algorithm. It also has certain reference value in medicine, agriculture, engineering, and other fields.<\/jats:p>","DOI":"10.1155\/2022\/6532852","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T22:05:21Z","timestamp":1658527521000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Design and Implementation of Local Threshold Segmentation Based on FPGA"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4714-3431","authenticated-orcid":true,"given":"Shangshang","family":"Gao","sequence":"first","affiliation":[{"name":"School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3492-6656","authenticated-orcid":true,"given":"Zhaofeng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2906-8127","authenticated-orcid":true,"given":"Feng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7617-9607","authenticated-orcid":true,"given":"Rugang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Technology, Yancheng Institute of Technology, Yancheng 224051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naihong","family":"Guo","sequence":"additional","affiliation":[{"name":"Yancheng Xiongying Precision Machinery Company Limited, Yancheng 224006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05853-7"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/tcad.2021.3056337"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-03849-7"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2020.103348"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1088\/1748-0221\/16\/07\/p07044"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-020-00986-9"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.18280\/ts.370615"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-06919-5"},{"issue":"1","key":"9","first-page":"86","article-title":"Multi-threshold segmentation of remote-sensing image based on genetic algorithm","volume":"8","author":"M. 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Li","year":"2022","journal-title":"Software Engineering"}],"container-title":["Journal of Electrical and Computer Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2022\/6532852.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2022\/6532852.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2022\/6532852.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T22:05:35Z","timestamp":1658527535000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jece\/2022\/6532852\/"}},"subtitle":[],"editor":[{"given":"Mohamed","family":"Louzazni","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,7,22]]},"references-count":17,"alternative-id":["6532852","6532852"],"URL":"https:\/\/doi.org\/10.1155\/2022\/6532852","relation":{},"ISSN":["2090-0155","2090-0147"],"issn-type":[{"type":"electronic","value":"2090-0155"},{"type":"print","value":"2090-0147"}],"subject":[],"published":{"date-parts":[[2022,7,22]]}}}