| 计算机视觉鸭蛋图像分割技术研究 |
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| 引用本文： | 王业琴.计算机视觉鸭蛋图像分割技术研究[J].农机化研究,2011,33(8). |
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| 作者姓名： | 王业琴 |
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| 作者单位： | 淮阴工学院电子与电气工程学院,江苏淮安,223003 |
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| 基金项目： | 淮安市科技支撑计划项目(SN0965); 江苏省高校自然科学研究项目(10KJD520001) |
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| 摘 要： | 计算机视觉鸭蛋品质检测中,目标与背景的有效分割尤为重要。为了解决传统灰度阈值分割存在的弊端,构造图像的灰度-梯度共生矩阵,提出基于灰度、梯度信息和最大熵原理的二维阈值分割方法。通过统计目标和背景的熵,并使二者和最大,确定与此对应的灰度、梯度值,即为最佳分割阈值。采用数学形态学方法对分割图像后进行处理,去除噪声点,使分割效果更理想。实验表明,该方法有效。
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| 关 键 词： | 计算机视觉 鸭蛋 灰度-梯度共生矩阵 二维阈值分割 最大熵 |
Research on Duck's Egg Image Segmentation Technology Based on Computer Vision |
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| Wang Yeqin.Research on Duck's Egg Image Segmentation Technology Based on Computer Vision[J].Journal of Agricultural Mechanization Research,2011,33(8). |
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| Authors: | Wang Yeqin |
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| Institution: | Wang Yeqin (Huaiyin Institute of Technology,Facelty of Electronic and Electrical Engineering,Huai'an 223003,China) |
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| Abstract: | In duck's egg quality inspection based on computer vision,effective segmentation of target and background is particularly important.In order to solve the deficiency of traditional gray level thresholding and makeup gray level-gradient cooccurrence matrix of the image,two-dimensional thresholding method based on gray-gradient information and maximum entropy principle is proposed.The optimal thresholding segmtentation is that through the statistics of target and background entropy,which makes target and backg... |
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| Keywords: | computer vision duck's egg gray level-gradient cooccurrence matrix two-dimensional thresholding segmtentation maximum entropy |
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