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首页> 外文期刊>Applied Engineering in Agriculture >AUTOMATICALLY DETERMINING THE SEGMENTATION LINES BETWEEN IMAGES OF ADHERENT RICE GRAINS
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AUTOMATICALLY DETERMINING THE SEGMENTATION LINES BETWEEN IMAGES OF ADHERENT RICE GRAINS

机译：自动确定粘附稻粒图像之间的分割线

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摘要

A new strategy for accurately and automatically determining the segmentation lines between images of adherent rice grains was explored based on the characteristics of contour and the techniques of image analysis. The images were captured by using an optical scanner. The original images of touching rice particles were preprocessed by the techniques of image analysis including de-noise, segmentation, and contour extraction. The extracted contours were smoothed by convoluting with Gaussian kernel. The first-derivative of the smoothed vectors was computed to look for the local peaks which corresponded to the segmentation nodes. A radiate triangle region was proposed to determine the confidence region for the potential matching nodes. The direction of radiate region was determined in terms of the axis tilted from the normal through the curvature center. The nodes which fell into the triangle region might become the candidate matching nodes. The splitting line linking between the matching nodes with the shortest distance was considered as the correct splitting path. The results demonstrated that the proposed method could be successfully used to split the images of touching rice particles.
机译：基于轮廓的特点和图像分析技术，探讨了一种准确和自动确定粘附稻粒图像之间分割线的新策略。通过使用光学扫描仪捕获图像。通过图像分析技术，预处理触摸水稻颗粒的原始图像，包括噪声，分段和轮廓提取。通过与高斯内核卷积来平滑提取的轮廓。计算平滑矢量的第一导数以查找对应于分割节点的本地峰值。提出了一种辐射三角形区域以确定潜在匹配节点的置信区。根据从正常通过曲率中心倾斜的轴来确定辐射区域的方向。落入三角区域的节点可能成为候选匹配节点。将具有最短距离最短的匹配节点之间链接的分割线被认为是正确的分割路径。结果表明，所提出的方法可以成功地用于分离触摸米颗粒的图像。

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