CANNY operator edge detection algorithm for low brightness environment

Abstract

The invention provides a CANNY operator edge detection algorithm aiming at a low brightness environment, comprising the following steps: 1. Gaussian smoothing filtering, LOG transformation and histogram equalization being carried out on an original image; 2, respectively adopting the sobel operator and the variant of the sobel operator in the oblique direction in two groups and four directions forthe image obtained in the step 1, and taking the amplitude average value as the processed pixel point data; 3, adopting a high-low threshold value method, reserving pixel point higher than that highthreshold value, otherwise abandoning the pixel points, and forming an edge detection image by reserving the pixel points.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a CANNY operator edge detection algorithm for low-brightness environments. Background technique [0002] The edge part of the image refers to the part of the image where the pixel gray level changes significantly around the local area, which widely exists between different objects and between the object and the background. Image edge extraction is to detect these edges and extract them as completely as possible without introducing noise edges to form the outline of the main object and background. Compared with other edge extraction operators, the CANNY operator uses a variational method to find an optimal edge detection algorithm. The CANNY operator has very high detection accuracy and can detect as many actual edges of the image as possible; the signal-to-noise ratio is large, the edge of the same object will only be marked once, and the possible noise will not be marked as an ...

AI Technical Summary

Problems solved by technology

[0004] However, for images in low-brightness environments, the gray value of image pixels is generally very low, noise has a greater impact on the image, and the gradient amplitude of the actual edge point is small, making it difficult to detect the edge of the image; the traditional CANNY operator is effective in detecting edge lines in oblique directions Not good; and the threshold of the final edge detection needs to be manually specified

Images