Wide line detection algorithm based on water flow method

Abstract

The invention belongs to the technical field of computer digital image processing, and particularly relates to a wide line detection algorithm based on a water flow method. The steps are that a landform altitude graph is constructed: an inputted color image is converted into a gray scale image, edge preserving smoothing is performed on the gray scale image by adopting guide filtering, and the landform altitude graph is constructed with image gray scale information acting as altitude data; a wide line response diagram is acquired through the water flow method: a roughness image of the smoothed image is calculated, pixel points with high roughness are selected to act as candidate water molecules through Otsu, the wide line response diagram is acquired through the water flow method on the landform altitude graph, and water flow method slope threshold and geometric threshold parameters are self-adaptively selected; and wide line extraction is performed: darkness information or lightness information of the inputted image is calculated so as to eliminate wrong line response, and smoothing is performed through certain morphological operation so that a final wide line detection result is acquired. According to the method, the line thickness can be detected, and the wide lines of different grain shapes and thickness can be self-adaptively detected so that the accuracy of wide line detection can be greatly enhanced.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing, and in particular relates to a wide line detection algorithm based on a water flow method. Background technique [0002] Line detection has been widely used in TCM tongue diagnosis, biometric detection, and road and river detection in aerial images. However, most current line detection methods ignore line thickness, are sensitive to noise, and are difficult to adapt to line detection with various texture shapes and thicknesses. Traditional edge detection algorithms, such as Canny operator, only extract the edges of wide lines without considering the thickness of the lines. There are also some edge-based detection algorithms, which regard the wide line as a target composed of two parallel edges. This method first finds all edge information in the image, and then finds the required target edge by analyzing these edge information. , however this method ignores the thickne...

AI Technical Summary

Problems solved by technology

However, since the WLD line detection operator is based on the isotropic estimation of the circular kernel, it is easily affected by the surrounding lines and areas with similar gray values.

The LWF line detection operator has the advantages of real-time and noise robustness, but it can only detect small targets, and does not provide an adaptive parameter selection method, making its versatility relatively weak

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