Study of improved Otsu algorithm and its ration evaluation analysis for PCB photoelectric image segmentation |
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Authors: | Naosheng Qiao Ping Sun |
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Institution: | 1. School of Physics and Electronic, Hunan University of Arts and Science, ChangDe, HuNan 415000, PR China;2. School of Information Science and Engineering, Central South University, ChangSha, HuNan 410073, PR China;3. Life and Physical Science College, Sichuan Agricultural University, YaAn, SiChuan 625014, PR China |
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Abstract: | The algorithm of maximum variance between clusters (traditional Otsu algorithm) is discussed, and its advantage is given also. In order to segment the PCB photoelectric image better, on the basis of the traditional Otsu algorithm, considering the different influence of image segmentation about the factors of the distance between target and background as well as each kind of cohesion, an improved Otsu algorithm is proposed, and its basic principle and segmentation advantages are analyzed in detail. In order to evaluate these segmentation results impersonally by using different algorithms, the quantitative criteria of gray-level contrast and district interior uniformity are adopted to evaluate these segmentation results impersonally. Finally, the different segmentation experiment contrasts of PCB photoelectric image between our algorithm and other algorithms is executed, the results of experiment indicate that our algorithm has relatively better segmentation quality. |
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Keywords: | Improved Otsu algorithm Ration evaluation analysis Image threshold segmentation PCB photoelectric image |
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