Image segmentation method based on cluster ensemble

An image segmentation and clustering technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low image segmentation efficiency, no applicability, and limited segmentation results

Active Publication Date: 2014-10-29
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

Since only a single attribute of the image is used to cluster each pixel in the image, these segmentation methods are often suitable for image segmentation for a specific purpose,

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  • Image segmentation method based on cluster ensemble
  • Image segmentation method based on cluster ensemble
  • Image segmentation method based on cluster ensemble

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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0061] A preferred embodiment of the present invention is provided below:

[0062] A segmentation method based on clustering fusion. After saving the original information of the image, first use three methods of mean shift, graph cut and Gabor texture segmentation to roughly segment the image to obtain three segmentation results. The superpixels obtained by the three segmentations are jointly segmented to obtain finer superpixels, and finally the obtained superpixels are processed using the simila...

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Abstract

The invention discloses an image segmentation method based on a cluster ensemble in the field of computer vision and pattern recognition. According to the image segmentation method, different coarse segmentation results and superpixels used for follow-up processing can be generated through three segmentation modes; then, distance attributes between different superpixels and annotation attributes of an image in the coarse segmentation results are integrated through a superpixel clustering integration method; in this way, the segmentation result of the image is improved, complex calculation is avoided, and color and texture attributes of the pixels are manifested.

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and in particular relates to a new non-supervised image segmentation method based on image multi-information clustering fusion. Background technique [0002] In the field of computer vision, image segmentation is an important step in image preprocessing. Since the current computer itself does not have the high-level comprehension ability of human beings and other organisms, and only processes discrete data, it is very necessary to use preprocessing such as image segmentation to process images. The result of image segmentation plays an important role in the subsequent processing. The subsequent image processing involved in image segmentation includes, for example, target detection and recognition, image classification, target tracking, and image compression and reconstruction. [0003] At present, there are many kinds of image segmentation methods, using various methods, suc...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 张巍杨杰俞中杰
Owner SHANGHAI JIAO TONG UNIV
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