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Thresholding method suitable for low-contrast noise containing image and thresholding device thereof

A low-contrast and noise technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of increasing the operation dimension, the segmentation result is greatly affected by the quality of feature information acquisition, and the anti-noise performance effect is not obvious. The effect of improving anti-noise performance, good processing effect and strong suppression effect

Inactive Publication Date: 2016-11-02
XIAN UNIV OF POSTS & TELECOMM
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Problems solved by technology

Good results can be achieved in threshold selection, but the segmentation results are greatly affected by the quality of feature information acquisition, and the selection of too many feature quantities will increase the dimension of the operation
In addition, when the image is greatly affected by noise, the effect of only applying the mean or median to improve the anti-noise performance is not obvious

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  • Thresholding method suitable for low-contrast noise containing image and thresholding device thereof
  • Thresholding method suitable for low-contrast noise containing image and thresholding device thereof
  • Thresholding method suitable for low-contrast noise containing image and thresholding device thereof

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Embodiment Construction

[0018] Now in conjunction with the accompanying drawings, the preferred embodiments of the present invention will be described in detail.

[0019] The present invention designs a method for adaptively acquiring image features and information fusion for images with a small difference in gray scale between the target and the background and contains noise, such as medical images and aerial images, establishes a thresholding criterion function, and performs parameters in the criterion function Optimized to obtain the results of complete target, clear edges and good anti-noise performance.

[0020] The method of the present invention includes: based on the minimum variance filtering idea, adaptively obtains the mean value of the neighborhood of the pixel point; combines the gray level and the mean value information to establish an asymmetric co-occurrence matrix; uses the two-dimensional linear Arimoto entropy as a threshold selection method; through the uniformity measurement funct...

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Abstract

The invention provides a thresholding method suitable for a low-contrast noise containing image and a thresholding device thereof. The thresholding method comprises the steps that a pixel point neighborhood mean is self-adaptively acquired based on the idea of minimum variance filtering; an asymmetric co-occurrence matrix is established through combination of gray scale and mean information; a two-dimensional linear Arimoto entropy is applied to act as a threshold selection method; and parameter selection of the Arimoto entropy is guided by a uniformity measurement function. The thresholding method has great processing effects in the aspects of integrity of target segmentation, edge clarity and noise resistance.

Description

technical field [0001] The present invention relates to the realization of image segmentation, in particular to the realization of a thresholding segmentation algorithm. Background technique [0002] Image segmentation is an important step in the transition from image processing to image analysis. Among them, the threshold segmentation algorithm has been widely researched and applied in image preprocessing because of its simplicity, high efficiency, and easy understanding. [0003] Digital images are complex and diverse. The target and background of a large number of images have little difference in brightness, color, texture and other characteristics. The boundary between the target and the background is not obvious and contains noise. The threshold selection of this type of image is the focus and The difficulty is that the design of the thresholding algorithm needs to be combined with various feature information of the image. [0004] In the existing image segmentation m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 张弘
Owner XIAN UNIV OF POSTS & TELECOMM
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