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Image edge extraction method

An extraction method and image edge technology, applied in image analysis, image data processing, instruments, etc., to achieve fast processing speed, good detection effect, and simple operation

Inactive Publication Date: 2017-05-03
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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Problems solved by technology

[0004] Mathematical morphology is a powerful tool to analyze the geometric characteristics of images. It analyzes and processes the shape and structure of images by using some basic set operations, such as erosion, expansion, opening, and closing. Good application, the morphological gradient of erosion and expansion operations in morphology has a good image edge detection effect, but the operations of erosion and expansion are extreme value operations, so only erosion and expansion will inevitably produce image gradient information Impact

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Embodiment Construction

[0016] This method constructs a two-dimensional non-separable low-pass filter; first, multi-scale non-separable additive wavelet decomposition is performed on the original image, and then the gradient map of the decomposed sub-image is obtained by using the gradient operator of modern mathematics morphology. The edges of the low and high frequency sub-images are respectively extracted by adding them, and then the final edge image is re-formed. Using the two-dimensional non-separable additive wavelet isotropy and the richness and speed of the edge detection of the morphological gradient, a new method is proposed. A new image edge extraction method.

[0017] The present invention will be described in detail below in combination with the flowchart.

[0018] 1. Low pass filter H 0

[0019] Because the non-separable additive wavelet has good directionality and is isotropic, in order to obtain multi-directional image edge information, the present invention selects the non-separabl...

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Abstract

The invention provides an image edge extraction method. According to the method, a two-dimensional nonseparable lowpass filter is constructed; first an original image is subjected to multi-scale nonseparable additive wavelet decomposition; then a gradient map of decomposed sub-images is obtained by utilizing a modern mathematical morphology gradient operator; high-frequency sub-images are subjected to addition, so that the edges of low-frequency and high-frequency sub-images are extracted; and a final edge image is formed again. A new image edge extraction method is provided by utilizing characteristics of richness, quickness and the like of two-dimensional nonseparable additive wavelet isotropy and morphology gradient detection of the edges. The method is simple in operation and good in detection effect; a target with a relatively small gray value in the image can be detected, more edge details can be obtained, and the edges with the integrity, multi-directionality, continuity and translation invariance can be extracted. Compared with other detection methods, the method has a relatively high processing speed.

Description

[0001] Field [0002] The invention relates to the fields of target recognition, image segmentation, remote sensing, medical image analysis and the like. Background technique [0003] Edge information is extremely important information in an image. In theory, all information in an image can be recovered through edge information. Therefore, edge detection is an important content of image analysis; it is the key to deal with many problems; traditional edge detection mainly uses the difference operators in the horizontal direction and vertical direction to detect the edges in the horizontal direction and vertical direction respectively, and then synthesizes a certain gradient for For edge detection, the computer only needs to find the difference in two directions and then synthesize it. However, this method also has obvious shortcomings. They only emphasize the edge information in the horizontal and vertical directions, but generally the actual image contains Edge information in...

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Application Information

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IPC IPC(8): G06T7/13
Inventor 范勇胡成华
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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