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《Journal of Jilin University(Engineering and Technology Edition)》 2017-03
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Image threshold segmentation with GA-Otsu method and quantitative identification

ZHAO Fu-qun;ZHOU Ming-quan;GENG Guo-hua;College of Information Science and Technology,Northwest University;College of Education Science,Xianyang Normal University;College of Information Science and Technology,Beijing Normal University;  
To overcome the shortcomings of large amount of calculation and low efficiency of the traditional Otsu method in image segmentation,a GA-Otsu segmentation method for thermal waving images is proposed.The method gives full play to the genetic algorithm with global searching ability.The optimal threshold of the thermal waving image segmentation can be attained quickly and the segmentation time of the injury is shortened.Compared with the artificial threshold segmentation method,experiment results show that the proposed method not only keeps the basic shape of impact damage,but also the position of impact point segmentation is accurate.Finally,the feasibility of the proposed method is proved by the thermal wave image threshold segmentation.
【Fund】: 国家自然科学基金项目(61373117 61305032)
【CateGory Index】: TP391.41
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【Co-citations】
Chinese Journal Full-text Database 9 Hits
1 Zhang Lin;Yang Li;Kou Wei;Fan Chunli;College of Power Engineering,Naval University of Engineering;;Identification of flow rate and temperature in the pipeline based on equal variance fitting of surface temperature measurement[J];红外与激光工程;2018-01
2 WANG Liming;LIU Lishuai;MEI Hongwei;GUO Chenyun;ZHAO Chenlong;FENG Lichun;Graduate School at Shenzhen, Tsinghua University;Electric Power Research Institute of Yunnan Power Grid Co., Ltd.;Department of Physics, Capital Normal University;;Nondestructive Testing Method of Post Porcelain Insulator Based on Pulsed Infrared Thermal Wave Technology[J];中国电机工程学报;2017-24
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