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机构地区:[1]塔里木大学信息工程学院,新疆阿拉尔843300
出 处:《湖北农业科学》2015年第6期1490-1492,共3页Hubei Agricultural Sciences
基 金:塔里木大学校长基金项目(TDZKSSZD201301)
摘 要:提出了一种结合小波变换、阈值分割和掩模处理的鲜枣裂纹检测方法,结合小波变换能聚焦到图像任意细节的优良特性、阈值算法能突出图像中感兴趣的部分、图像掩模对感兴趣区域内的图像值保持不变而区域外的图像值均为0等优点,能够将不同大小、任意形状和任意位置的鲜枣裂纹检测出来。仿真试验结果表明,鲜枣裂纹的提取效果比较清晰,很好地实现了鲜枣裂纹检测。A new method of detecting crack of fresh jujube combined with wavelet transform, threshold segmentation and mask processing was proposed. The wavelet transform sufficiently focused the excellent characteristics of any detail. Image threshold algorithm highlighted a part of the interesting image. Image mask on region of interested image value remained the same. The advantages of image values were outside the area of O. Different size, shape and location of crack of the fresh ju- jubes was detected by this method. The simulation results showed that the extraction effect of crack was clear and good for detecting the crack of fresh jujube.
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