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Received:March 08, 2011 Revised:April 15, 2011
Received:March 08, 2011 Revised:April 15, 2011
中文摘要: 准确检测并分离甜瓜瓜蒂,对于基于计算机图像处理的甜瓜品质分级系统具有重要意义。提出了一种基于角点检测的瓜蒂检测和分离方法,该方法利用瓜蒂区域和甜瓜其它部分角点分布差异较大特点,可准确地找到并擦除瓜蒂,本算法对瓜蒂形状、长短、粗细不敏感,有较好的适应性。与多种已知瓜蒂检测算法的对比实验表明,本算法具有很高的识别率和较小的耗时。
Abstract:Accurate detection and segmentation of the pedicels are important tasks in a melon quality-rating system which is based on image processing. It presents a novel method of detecting the pedicels and erasing them in the melon images. The corners of a melon image are extracted firstly, and most of them distributes in the pedicel. Utilizing this feature, the pedicels exactly and erase them easily can be detected. The proposed method is not sensitive to variations of their shape, length, thickness of pedicels, and thus is adaptable. The experimental results show that, compared with the several existing approaches, the accuracy of the proposed method is improved and the average time cost is reduced.
keywords: image processing melon corner detection
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基金项目:国家自然科学基金(61062012)
引用文本：
徐莹莹,冯全,王书志.高维数据的频繁封闭模式挖掘算法研究综述.计算机系统应用,2011,20(11):44-49
XU Ying-Ying,FENG Quan,WANG Shu-Zhi.Efficient Separation on Melon Pedicel with Corner Detection.COMPUTER SYSTEMS APPLICATIONS,2011,20(11):44-49
徐莹莹,冯全,王书志.高维数据的频繁封闭模式挖掘算法研究综述.计算机系统应用,2011,20(11):44-49
XU Ying-Ying,FENG Quan,WANG Shu-Zhi.Efficient Separation on Melon Pedicel with Corner Detection.COMPUTER SYSTEMS APPLICATIONS,2011,20(11):44-49
