{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:57:23Z","timestamp":1761663443335},"reference-count":22,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>For improving the processing speed and accuracy of edge detection, an adaptive edge detection method based on improved NMS (nonmaximum suppression) was proposed in this paper. In the method, the gradient image was computed by four directional Sobel operators. Then, the gradient image was processed by using NMS method. By defining a power map function, the elements values of gradient image histogram were mapped into a wider value range. By calculating the maximal between-class variance according to the mapped histogram, the corresponding threshold was obtained as adaptive threshold value in edge detection. Finally, to be convenient for engineering application, the proposed method was realized in FPGA (Field Programmable Gate Array). The experiment results demonstrated that the proposed method was effective in edge detection and suitable for real-time application.<\/jats:p>","DOI":"10.1155\/2016\/1470312","type":"journal-article","created":{"date-parts":[[2015,12,22]],"date-time":"2015-12-22T16:00:47Z","timestamp":1450800047000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["An Improved NMS-Based Adaptive Edge Detection Method and Its FPGA Implementation"],"prefix":"10.1155","volume":"2016","author":[{"given":"Enzeng","family":"Dong","sequence":"first","affiliation":[{"name":"Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, 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