Control of computer vision pre-processing based on image matching using structural similarity

摘要

A processor computes a measure of input image structural complexity of an input image, and searches a database of true positives to find one or more entries in the database that represent true positive images that are structurally similar to the input image. The processor compares a measure of signal quality of the input image and a measure of signal quality of one of the true positive images, as retrieved from the database, and based on the comparison updates a control variable that configures a signal quality conditioning process that is to be performed on the input image prior to processing of the input image by a computer vision processor thus improving performance of the computer vision task. Other embodiments are also described and claimed.

主权项

1. An image processing method for a computer vision system, comprising:
processing an input image to compute a measure of input image structural complexity, of the input image; using a) the measure of input image structural complexity and b) a measure of true positive structural complexity, of a true positive image, computing a measure of structural similarity of the input image to the true positive image, wherein the true positive image is one that has resulted in a correct decision by a computer vision processor; and in response to the measure of structural similarity indicating sufficient similarity, performing a comparison between a measure of signal quality of the input image and a measure of signal quality of the true positive image and, based on the comparison, updating a control variable that configures a signal quality conditioning process that is performed on the input image prior to processing of the input image by a computer vision processor.