Pearl Image Preprocessing And Feature Detection

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.