Local edge feature integration-based target object contour extraction method

A technology of edge features and target objects, applied in the field of computer vision, can solve problems such as detection and extraction, weak scene background robustness, and inability to apply target contours

Inactive Publication Date: 2016-11-16
CENT SOUTH UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

These methods have achieved better contour detection results than traditional methods, but they are not robust to scene background interference and cannot be applied to target contour detection and extraction in complex natural scenes.

Method used

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  • Local edge feature integration-based target object contour extraction method
  • Local edge feature integration-based target object contour extraction method
  • Local edge feature integration-based target object contour extraction method

Examples

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Embodiment Construction

[0033] Implementation example 1: take the contour detection of a natural scene image as an example.

[0034] Select any image from the internationally recognized image library RUG for verifying contour detection and extraction algorithms. Here, Elephant_2 is taken as an example. The size of the image is 512×512 pixels, and its standard contour is averaged by multiple manual sketches. Adopt outline extraction method flow process of the present invention as figure 1 As shown, the specific steps are as follows:

[0035]S1.Gabor filtering: Given that the scale parameter of each Gabor filter is 2.0, 45 directions are uniformly selected within a range of 180 degrees, and the directions are iπ / 45, (i=0,1,2,...,44) , to obtain a group of Gabor filter groups with 45 different orientations; then use each orientation filter to perform convolution operation with the input image, and filter the original image to obtain 45 grayscale image groups after filtering. That is, the information d...

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Abstract

The invention discloses a local edge feature integration-based target object contour extraction method. The method comprises the steps of firstly performing filtration processing on an input original image by adopting a group of Gabor filter banks different in direction to obtain a directional information graph and a corresponding energy distribution image; and secondly dividing an image region into a central region and a peripheral region according to processed pixel point coordinates, and designing a peripheral center action mechanism based on a directional distribution difference, so that the robust contour extraction method is realized through flexible local edge feature integration, wherein the peripheral region consists of a plurality of sub-regions capable of independently perceiving local features and performing nonlinear modulation in response to the central region. According to the contour extraction method, feature integration parameters can be adaptively calculated according to a context relationship in a large-range region where pixels are located, and the robustness and validity of contour extraction of target objects in complex scenes can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to a target object outline extraction method based on local edge feature integration. Background technique [0002] Object contour extraction is a key step in image object recognition and scene analysis. The human visual system can perform complex visual processing and processing by adaptively adjusting the interaction between neurons according to the change of the visual scene, making the target object contour detection problem simple and effective. Simulating the visual processing mechanism of mammals, establishing a computational model inspired by the neural information processing mechanism of the human visual system, and solving the problem of computer detection of the contours of target objects in digital images is an effective way of modern intelligent information processing, and is also receiving more and more attention. focus on. At present, contour extraction meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06V10/44
Inventor 赵荣昌
Owner CENT SOUTH UNIV
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