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Method for identifying color in machine and computer vision applications

机译:在机器和计算机视觉应用中识别颜色的方法

摘要

A method for identifying color in a target creates a ratio color space by determining the largest color component value of each pixel in an image and creating a ratio of all of the color component value with the largest component value for each pixel. The ratio for the color component of each pixel undergoes a threshold test to identify each color component as a rich shade or a fade shade. The ratio space color components are converted to a black and white image. Color information of adjacent pixels are clumped together to form blobs of the same color. The blobs are filtered by shape, color, location, or orientation and sorted to find targets that consist of a predefined pattern with the desired characteristics.
机译:用于识别目标中的颜色的方法通过确定图像中每个像素的最大颜色分量值并为每个像素创建所有颜色分量值与最大分量值的比率,来创建比率颜色空间。每个像素的颜色分量的比率经过阈值测试,以将每个颜色分量标识为浓阴影或淡阴影。比例空间颜色分量将转换为黑白图像。相邻像素的颜色信息会聚在一起形成相同颜色的斑点。通过形状,颜色,位置或方向对斑点进行过滤,并进行分类以找到包含具有所需特征的预定义图案的目标。

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