公开(公告)号：US20050276512A1

公开(公告)日：2005-12-15

申请号：US10858130

申请日：2004-06-01

Applicant: Matthew Atkinson ,  Kurt Halverson

Inventor： Matthew Atkinson ,  Kurt Halverson

IPC: G06K9/00 ,  G06T5/00

CPC classification number: G06T5/003 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10064 ,  G06T2207/20012 ,  G06T2207/30072

Abstract: A method and system are provided for the selective use of deconvolution to reduce crosstalk between features of an image. The method to select areas of an image for deconvolution comprising the steps of: a) providing an image comprising a plurality of features, wherein each feature is associated with at least one value (v); b) identifying a test feature which is a high-value feature adjacent to a known low-value zone of the image, wherein the test feature has a tail ratio (rt), which is the ratio of the value of the test feature (vt) to the value of the adjacent low-value zone of the image (vo); c) calculating a threshold value t which is a function of tail ratio (rt) of the test feature; and d) identifying selected areas of the image, the selected areas being those where the ratio of values (v) between adjacent features is greater than said threshold value (T(rt)). Typically, the method of the present invention additionally comprises the step of deconvolving the selected areas of the image.

Abstract translation: 提供了一种用于选择性地使用去卷积以减少图像特征之间的串扰的方法和系统。 选择用于去卷积的图像的区域的方法包括以下步骤：a）提供包括多个特征的图像，其中每个特征与至少一个值（v）相关联; b）识别作为与所述图像的已知低值区相邻的高价值特征的测试特征，其中所述测试特征具有尾比（r SUB t），所述比值是 测试特征的值（v> t ）与图像的相邻低值区域的值（v> o>）; c）计算作为测试特征的尾比（r >t ）的函数的阈值t; 以及d）识别所述图像的选定区域，所选择的区域是相邻特征之间的值（v）的比值大于所述阈值（T（r））的那些区域。 通常，本发明的方法还包括对图像的选定区域进行去卷积的步骤。