Image processing method and device

Abstract

The embodiment of the invention provides an image processing method and device, and relates to the field of image processing, and the method comprises the steps: obtaining a target gray level gradientvalue of a target point location and a brightness parameter of an area where the target point location is located; obtaining a target gradient threshold value according to the brightness parameter and a preset gradient threshold value; when the target gray level gradient value is greater than or equal to the target gradient threshold value, taking the target point location as an ideal edge pointlocation; and obtaining the image edge of the to-be-processed image according to all the ideal edge point locations. The gray level gradient threshold value is changed according to the light and shadeconditions of different areas, so that the edge image obtained by edge detection in the dark area can be more complete, and the original edge of the dark area in the original image can be clearly anddirectly reflected.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method and device. Background technique [0002] With the advancement of technology, the application fields of image processing are becoming more and more extensive. As an important technical means in image processing, edge detection has also attracted more and more attention. It can identify points with obvious brightness changes in digital images, thereby greatly The amount of data is greatly reduced, information that can be considered irrelevant is eliminated, and important structural properties of the image are retained. [0003] However, the light conditions of the image are good or bad. Even in the same picture, there are cases where the contrast between light and dark areas is obvious. In traditional edge detection, it is determined whether it is an edge according to the gray level change during the edge detection process, but In the darker area...

AI Technical Summary

Problems solved by technology

[0003] However, the light conditions of the image are good or bad. Even in the same picture, there are cases where the contrast between light and dark areas is obvious. In traditional edge detection, it is determined whether it is an edge according to the gray level change during the edge detection process, but In the darker area, the grayscale change of the original edge is small, resulting in the incomplete edge image obtained by edge detection. At the same time, the points of the edge detected image are displayed according to the grayscale change of the original edge, which cannot be clearly and directly reflected. The original edge of the darker area in the original image

Images