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    • 10. 发明授权
    • Method and apparatus using image subtraction and dynamic thresholding
    • 使用图像减法和动态阈值的方法和装置
    • US6061476A
    • 2000-05-09
    • US976931
    • 1997-11-24
    • Sanjay Nichani
    • Sanjay Nichani
    • G06K9/38G06T5/00G06T5/50
    • G06K9/38G06T5/50G06T7/0081G06T7/0097G06T2207/20148G06T2207/30141
    • A method and apparatus implementing dynamic thresholding techniques in processes that use image subtraction. The subtracted image is separated into a positive difference image using a positive image map and a negative difference image using a negative image map. A positive threshold map and a negative threshold map process a Gaussian filtered first image to generate respective positive and negative dynamic threshold images. The positive and negative threshold map mask out irrelevant areas and implement adaptive gain in pixel thresholds proportional to a difference or contrast between foreground or feature of interest and local background. Dynamic thresholding is a subtraction providing a subtracted positive image and a subtracted negative image. The subtracted positive and subtracted negative images are combined to provide a merged image which is binarized. Edge or Interface detection involves edge detection and true peak detection to find the edge peaks in a pre-image and post image. A binarization map converts edge peak pre and post images and the post image is then dilated to compensate any mis-registration. The dilated post image is subtracted from the binary edge pre-image to form an edge subtraction image. Pixels absent from the post image are assumed to be occluded by a feature of interest. The two binary images are merged, filtered, and connectivity is effected to obtain position and size of contiguous regions of interest.
    • 一种在使用图像减法的过程中实现动态阈值技术的方法和装置。 使用负图像映射和使用负像图的负差分图像将减去的图像分离为正差分图像。 正阈值图和负阈值图处理高斯滤波的第一图像以产生相应的正和负动态阈值图像。 正和负阈值图掩蔽不相关的区域,并实现与前景或特征与本地背景之间的差异或对比度成比例的像素阈值中的自适应增益。 动态阈值是减法提供减法的正像和减去的负像。 减去的正和负的图像被组合以提供被二值化的合并图像。 边缘或接口检测涉及边缘检测和真实峰值检测,以在前图像和后期图像中找到边缘峰值。 二值化图转换边缘峰前和后图像,然后扩展后图像以补偿任何错误注册。 从二进制边缘预图像中减去扩张后的图像以形成边缘减影图像。 假定不存在后置图像的像素被感兴趣的特征遮挡。 两个二进制图像被合并,过滤,并且实现连接以获得感兴趣的连续区域的位置和大小。