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A Line-scanned Based Digit Image Description Method and Its Application in Fruit Quality Inspection

机译:基于线扫描的数字图像描述方法及其在水果质量检验中的应用

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A line-scanned based digit image description method was developed, where a digit image was scanned horizontally and the continuous pixel with similar information was described as a line segment, only the horizontal coordinate of the start pixel and the end were recorded to a node, and all the nodes on the same row were linked as a linked list called horizontal line list, all the horizontal line list of the image were stored in an array called image list by their vertical coordinate. The adjacent relationship between two vertical neighbor line segment was judged by the end coordinate of one line segment and the start of the others, in this way, all the adjacent horizontal line were move to a new array from image list to symbol an object, which was segmenting, where the operating of image filtering, object detecting, contour tracing was finished in one times. The method was applied to a realtime machine vision system (the computer is P4 1.8G 128M RAM) for fruit quality inspection. The image resolution was 100 x 120, and the image of fruit on the image was about 40% to the whole. The processing rate was over 180 images per second.
机译:的线扫描基于数字图像描述方法被开发,其中数字图像水平地扫描,并用类似的信息的连续像素被描述为一个线段,只有水平的起始像素的坐标和结束时,记录到一个节点,并连接在同一行中的所有节点作为称为水平线列表的链接列表,所有的图像的水平线列表被其垂直坐标存储在数组中称为图像列表。两个垂直相邻线段之间的相邻关系,由最终判定一个线段和他人的开始的坐标,以这种方式,所有的相邻的水平行是移动以从图像列表中的新阵列符号的对象,该对象被分割,其中图像过滤的操作,对象检测,轮廓跟踪在一个时间结束了。该方法用于实时机器视觉系统(该计算机是P4 1.8G 128M RAM),用于水果质量检验。图像分辨率为100×120,和水果的图像上的图像是大约40%至整个。处理速度为每秒超过180倍的图像。

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