水果检测中的边界追踪法

应用计算机视觉进行水果检测时 ,采用边界追踪技术能有效分割背景与样品 .文章根据梨、苹果等水果的外形特征 ,提出了一种改进的边界追踪方法 .该方法的操作图像可以是二值图像或灰度图像 ,图像中的样品被分割成 4个区域 ,为加快处理速度 ,根据水果外形来确定每个区域边界追踪方向的优先权 .对苹果、梨、芒果等水果图像进行了测试 ,结果表明 ,该方法追踪一幅大小为 15 0× 15 0像素的水果图像 ,所需时间不足 1s .

A New Method of Boundary Tracking in Fruit Detection

When computer vision was applied to fruit detection, the background and sample of an image could be effectively segmented with the aid of boundary tracking technique. According to the appearance of some fruit, such as pear and apple, a modified boundary tracking method was proposed. In this method, a sample in an operation image that could be binary image or gray image was partitioned into 4 regions. To accelerate the boundary tracking, the priority of boundary tracking directions in each region was given by the appearance of the sample. Lastly, tests of boundary tracking using images of apples, pears, mango etc. were done. The results confirmed that the time of processing a 150 by 150 image of a pear was less than 1 s.