Image processing method and device

Abstract

The embodiment of the present invention proposes an image processing method and device, which relate to the field of image processing. The method includes obtaining the target gray gradient value of the target point and the brightness parameter of the area where the target point is located; according to the brightness parameter and the preset gradient Threshold to obtain the target gradient threshold; when the target gray gradient value is greater than or equal to the target gradient threshold, the target point is taken as the ideal edge point; according to all ideal edge points, the image edge of the image to be processed is obtained. By changing the gray gradient threshold according to the light and dark conditions of different areas, the edge image obtained by edge detection in the darker area can be more complete, so that the original edge of the darker area in the original image can be clearly and directly reflected.

Description

technical field [0001] The present invention relates to the field of image processing, and 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. The amount of data is greatly reduced, the information that can be considered irrelevant is eliminated, and the important structural properties of the image are preserved. [0003] However, the light conditions of the image are good or bad. Even in the same picture, there are obvious contrasts between light and dark areas. In traditional edge detection, whether it is an edge is determined according to the change in gray level in the process of edge detection, but In the darker area, the grayscale change of the original edge is small, resulting in an incomplete edge image obt...

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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

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