Multifeature-based target object contour detection method

A technology of target object and contour detection, applied in the field of computer vision

Active Publication Date: 2011-09-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0003] The purpose of the present invention is to solve the defects existing in the existing non-classical receptive field suppression contour detection method for object contour extraction in complex natural scenes, and propose a multi-feature-based target object contour detection method

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  • Multifeature-based target object contour detection method
  • Multifeature-based target object contour detection method

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Embodiment Construction

[0013] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0014] Take the contour detection of a natural image as an example. Download the elephant_2 image and its corresponding standard contour detection results from the currently internationally recognized image database website that verifies the effect of the contour extraction algorithm. averaged after plotting. The process of the specific detection method is as follows: figure 1 As shown, the specific process is as follows:

[0015] S1.Gabor filter processing: the scale parameter value of the given Gabor filter bank is 2.0, and 12 orientations are taken within the range of 180°, and the orientation parameters are respectively iπ / 12, (i=0, 1, ..., 11), Obtain a set of Gabor filters with 12 different orientations; then use filters for each orientation to filter each pixel in the input image in turn, and obtain 12 filtered images, which are 12 d...

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Abstract

The invention belongs to the field of computer vision technology and discloses a multifeature-based target object contour detection method. The multifeature-based target object contour detection method comprises the steps of filtering processing, extraction of local features of images, calculation of inhibiting weight under all features, making of inhibited contour images and binarization processing. In the multifeature-based target object contour detection method, a group of filters with different orientations is adopted to carry out filtering processing on input images to obtain an orientation information distributing image in all orientations; then the local orientation, brightness and contrast features of the images are respectively extracted, the inhibiting weights of a nonclassical receptive field to central pixel points are respectively calculated under each feature, and finally the inhibiting weights under all the features are combined to obtain a final inhibiting weight; and the inhibiting strength of pixels in the corresponding nonclassical respective field to the inhibiting weight of each pixel point is adjusted according to the inhibiting weight so as to obtain an inhibited contour image. In the multifeature-based target object contour detection method disclosed by the invention, multifeature information of the images is comprehensively input, and the capability of extracting an object contour quickly and completely from a complicated scene is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for detecting object contours. Background technique [0002] Traditional edge detection methods cannot distinguish between texture edges and object contours, and object contour detection is of great significance to computer vision applications such as object recognition. The human visual system can easily cope with complex natural environments, and efficiently complete various complex visual tasks, simulate the basic process of visual information processing, and model on this basis, providing new ideas for the study of computer vision and artificial intelligence. So far, the more representative contour detection method based on the visual mechanism is the nonclassical receptive field inhibition contour detection method. For details, please refer to the literature: Grigorescu C, Petkov N, Westenberg M, Contour detection based on nonclassical receptive ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46
Inventor 李永杰杨开富李朝义
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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