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Quantitative assessment method for image heterogeneity characteristics

A quantitative evaluation and non-uniformity technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as result differences, and achieve the effect of simple form, fast speed, and few parameters

Inactive Publication Date: 2012-09-12
TIANJIN UNIV
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Problems solved by technology

However, the algorithm verification experiments in this paper show that for the same image model, there are differences between the results obtained by different algorithms

Method used

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  • Quantitative assessment method for image heterogeneity characteristics
  • Quantitative assessment method for image heterogeneity characteristics
  • Quantitative assessment method for image heterogeneity characteristics

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Experimental program
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Embodiment Construction

[0043] The method for quantitatively evaluating image non-uniformity characteristics of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

[0044] The quantitative evaluation method of image non-uniformity characteristic of the present invention, comprises the following steps:

[0045] 1) Determine the mathematical expression to describe the non-uniformity of the image by using the gray value difference and the spatial distribution characteristics in the image:

[0046] H = ± 1 M · G th Σ i = 1 M ( w i N i Σ ...

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Abstract

A quantitative assessment method for image heterogeneity characteristics comprises confirming a mathematical expression of image heterogeneity; obtaining a three dimensional image of an assessed image; obtaining a gray value for each point; setting a reference gray value Gth in an effective area or an interested area; counting the total number M of effective points inside the three dimensional image; getting a maximum center distance dmax; counting the number Ni of adjacent effective points of each point; calculating absolute differences (absolute value of G ij) of the gray values between each point and the adjacent effective points therearound; introducing the obtained parameters into the formula provided in step 1 and calculating a heterogeneity characteristic value H in the effective area or the interested area; and obtaining a characterization symbol + or - of gray distribution change in the effective area or the interested area according to the calculating steps for the characterization symbol of gray distribution change in the effective area or the interested area. The quantitative assessment method for the image heterogeneity characteristic is characterized by a simple form, fewer parameters, a quick speed and a convenient application, and reserves the information of spatial distribution and characteristics of the image.

Description

technical field [0001] The invention relates to an image evaluation method. In particular, it relates to a quantitative evaluation method of image non-uniformity. Background technique [0002] Images are vivid expressions of a colorful world. Texture is a comprehensive reflection of grayscale statistical information, spatial distribution information and structural information of an image, and is an important basis for describing and identifying images. Compared with other image features or descriptions, texture properties better take into account the macroscopic properties and fine structure of the image. Non-uniformity reflects the uniformity of image gray distribution, texture homogeneity and local variation, and is one of the important parameters for image texture analysis. For a long time, the quantification and evaluation of image non-uniformity has been one of the research directions of the majority of image analysis researchers. [0003] Since it was proposed by H...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 冯远明李崇崇撒昱郭玙
Owner TIANJIN UNIV
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