节点文献

珍珠图像的预处理与特征检测

Pearl Image Preprocessing and Feature Detection

【作者】 贾华孟

【导师】 张三元; 张引;

【作者基本信息】 浙江大学 , 计算机应用技术, 2008, 硕士

【摘要】 珍珠产业是中国的传统产业和民族产业,我国是世界第一的珍珠大国。目前,珍珠的等级评判主要靠人工依据珍珠的颜色、光泽、形状、纹理等进行大致估计。这种估计在很大程度上受人为因素的影响,导致人为误差,造成分选质量差、人工成本高、分选效率低、随意性大,从而给整个珍珠生产业带来较大的负面影响。因此根据珍珠的特点,建立详细的分级标准、研制高速、高精度珍珠自动分选设备对我国珍珠业的发展将起到重要的促进作用。珍珠自动分选系统包括硬件系统、软件系统。珍珠自动分选系统的硬件部分,主要包括照明系统,触发设备,工业相机,IO控制卡,传送设备和分类器几个部分。软件系统主要由边缘检测、形状检测、纹理检测、颜色识别等部分构成。珍珠自动分选设备通过对珍珠进行动态采集,抓取珍珠的图象,对所抓取图象进行分析处理,从而按照珍珠的大小、形状、瑕疵、颜色、光泽等特征指标进行分类。珍珠的形状主要有圆形、椭圆形、扁形、其他形状等。本系统利用随机Hough变换技术来检测珍珠形状,能够检测圆、椭圆、尖形和其它形状。珍珠纹理以珍珠表面的瑕疵情况作为分选标准,有无暇、微暇、小暇、瑕疵、重暇等。珍珠图像经边缘检测找到边界轮廓后,再对图像进行二值化处理,提取瑕疵信息,然后进行瑕疵识别,并确定瑕疵类型。

【Abstract】 Pearl industry is China’s traditional and national industry, China is the world’s major countries of pearls. At present, the pearl level judging depends largely on the artificial estimate of the color, luster, shape, texture of the pearl. This estimate in large measure by man-made factors, lead to human error, resulting in poor quality, high labor costs, low efficiency of separation, arbitrariness, and thus to the entire pearl production industry greater negative impact.Pearl automatic sorting system, include hardware, software systems. The hardware system includes lighting systems, triggering equipment, industrial cameras, IO control card, and parts for classification. And software system mainly by the edge detection, shape detection, texture detection, and color detection. In our system, by dynamic collecting the pearl image, we define the class of pearls according to the shape, color, luster and flaw of pearls.Mainly the shape of pearls round, oval, flat, the other shape, and so on. In this paper, we use Hough transformation to detect the shape of pearls. It can recognize round, ellipse and sharp shape. By the image edge detection, we find the border of the pearl, then we binary the pearl image, and fetch the texture information and proceed to identify flaws and defects type.

【关键词】 边缘检测形状检测纹理检测
【Key words】 Edge DetectionShape DetectionTexture Detection
  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2008年 07期
  • 【分类号】TP391.41
  • 【被引频次】2
  • 【下载频次】181
节点文献中: 

本文链接的文献网络图示:

本文的引文网络