| 基于显著性和最大熵的输送带撕裂检测 |
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| 引用本文： | 亢伉,苗长云,杨彦利. 基于显著性和最大熵的输送带撕裂检测[J]. 计算机系统应用, 2013, 22(3): 117-120 |
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| 作者姓名： | 亢伉 苗长云 杨彦利 |
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| 作者单位： | 天津工业大学 电子与信息工程学院, 天津 300387;天津工业大学 电子与信息工程学院, 天津 300387;天津工业大学 电子与信息工程学院, 天津 300387 |
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| 基金项目： | 国家自然科学基金(51274150);天津市自然科学基金(12JCZDJC27800) |
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| 摘 要： | 针对带式输送机在运行过程中输送带易撕裂的背景,根据人眼视觉系统特点和信息论相关理论,提出了一种基于视觉显著性和一维最大熵的输送带撕裂故障检测算法.首先在频域提取图像的显著性区域,然后计算显著图的最大信息熵,进而分割图像.实验结果表明,该方法具有较强的稳定性和适应性.
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| 关 键 词： | 输送带 撕裂 视觉注意 显著性 谱残差 最大熵 |
| 收稿时间： | 2012-08-15 |
| 修稿时间： | 2012-09-23 |
Detection Rips in Conveyor Belts Based on Saliency and Maximal Entropy |
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| KANG Kang,MIAO Chang-Yun and YANG Yan-Li. Detection Rips in Conveyor Belts Based on Saliency and Maximal Entropy[J]. Computer Systems& Applications, 2013, 22(3): 117-120 |
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| Authors: | KANG Kang MIAO Chang-Yun YANG Yan-Li |
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| Affiliation: | School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China;School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China |
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| Abstract: | Under the background that conveyor belts are prone to rips in operation, According to the characteristics of human visual system and information theory, an algorithm for detecting rips in conveyor belts based on visual saliency and maximal entropy is proposed. Regions of interest are firstly extracted in frequency domain, and then a threshold is obtained through calculating the maximal entropy of saliency map to segment the grayscale image. Experiments show that the algorithm is stable and adaptable. |
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| Keywords: | conveyor belt rip visual attention saliency spectral residual maximal entropy |
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