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Image segmentation method based on image data field

An image segmentation and data field technology, applied in image data processing, image analysis, image enhancement and other directions, can solve the problem of lack of fast and accurate segmentation methods, achieve the effect of accurate segmentation effect and reduce the degree of over-segmentation

Active Publication Date: 2016-09-28
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

In practical applications, these available features mainly include grayscale, texture, edge, color, etc. According to different image processing requirements, thousands of processing methods have been proposed, but there is no general fast and accurate segmentation method

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  • Image segmentation method based on image data field
  • Image segmentation method based on image data field
  • Image segmentation method based on image data field

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[0016] specific implementation

[0017] The present invention will be further described below in conjunction with the accompanying drawings of the description.

[0018] According to the accompanying drawing (1) of the description, the implementation steps are described in detail:

[0019] Step (1). Image input and image preprocessing.

[0020] In order to achieve the effect of comparison, the renderings of the same image under different lighting conditions are collected, and then processed separately. The preprocessing of the image mainly includes several processing processes such as graying the image, filtering and denoising, histogram equalization, and binarization.

[0021] Step (2). Using the watershed algorithm based on eight-direction gradients for image segmentation.

[0022] The watershed algorithm is a gradient-based image segmentation method, which can convert the edges in the image into "mountains" and uniform areas into "valleys". It is mainly divided into two p...

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Abstract

The invention relates to an image segmentation method based on an image data field. Conventional monochromatic image segmentation methods are generally based on the discontinuity and similarity of a pixel gray value; and a conventional segmentation algorithm is difficult to get the ideal segmentation effect under the condition of non-uniform illumination. Firstly, the input image is subjected to pre-processing filtering and then segmented by a watershed algorithm based on the eight-direction gradient, and then the average gray value of the edge point is obtained by the edge detection of the segmented image and is set as the seed value, and meanwhile, an image data filed is constructed, and the potential value function of the pixel point is calculated, and at the end, based on the seed value and the image data field, the feed filed automatic growth is carried out. The segmentation effect and the segmentation time of the image being nonuniform in illumination are greatly improved, and the demand of image identification can be met.

Description

technical field [0001] The invention belongs to the field of image segmentation and relates to a fast and accurate segmentation method for unevenly illuminated images. Background technique [0002] Image segmentation refers to dividing the image into many continuous sub-regions through the similarity or dissimilarity of image features, and extracting the interesting parts from the sub-regions. In practical applications, these available features mainly include grayscale, texture, edge, color, etc. According to different image processing requirements, thousands of processing methods have been proposed, but there is no general fast and accurate segmentation method. [0003] In engineering applications, image segmentation is a key step in image analysis and an important part of the image processing system. It has high practical value and is the basis for subsequent image analysis. The quality of segmentation will directly affect the final analysis results. Therefore, it is ver...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
CPCG06T5/00G06T2207/20156
Inventor 王效灵李宁宁俞斌德杨佐丞林云余长宏
Owner ZHEJIANG GONGSHANG UNIVERSITY
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