A Method of Image Sharpness Measurement Using Multi-scale Morphological Features

A technology of morphological characteristics and image clarity, which is applied in image analysis, image data processing, instruments, etc., can solve the problems that the change of image clarity is not sensitive enough, can not be used well, and achieve broad market prospects and application value, The effect of good sharpness resolution

Inactive Publication Date: 2011-12-21
BEIHANG UNIV
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Problems solved by technology

However, these two metrics cannot make good use of low-contrast image grad

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  • A Method of Image Sharpness Measurement Using Multi-scale Morphological Features
  • A Method of Image Sharpness Measurement Using Multi-scale Morphological Features
  • A Method of Image Sharpness Measurement Using Multi-scale Morphological Features

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[0026] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. The principle block diagram of the present invention is as figure 1 Shown, the specific implementation details of the present invention are as follows:

[0027] Step 1: Extract multi-scale bright and dark features

[0028] A clear image usually includes a large number of important image detail features, which means that the useful features contained in the image are important and available information to measure the image sharpness. The top-hat transform is an important mathematical tool for extracting image features, which can effectively extract useful features in images, especially detail features. Therefore, based on the top-hat transformation, image features can be effectively extracted for the construction of image clarity.

[0029] The top-hat transform...

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Abstract

The invention relates to a method for measuring image definition by utilizing multi-scale morphological characteristics. The method comprises the following steps of: (1) respectively extracting multi-scale bright characteristics and dark characteristics of an image through multi-scale structuring elements by utilizing top-hat transform; (2) calculating final bright characteristics and dark characteristics synthesized with multi-scale characteristics by utilizing the extracted multi-scale bright characteristics and dark characteristics; (3) obtaining the final multi-scale characteristics for the calculation of definition according to the final bright characteristics and dark characteristics by an maximum value operation; and (4) calculating gray average of the final multi-scale characteristics and taking the gray average as the measurement of the image definition. According to the method disclosed by the invention, the definition of images can be correctly measured, the change of definition is more sensitive, and the definition resolving capability is better; and in addition, the method disclosed by the invention can be widely applied to various image-based application systems and has wide market and higher application value.

Description

technical field [0001] The invention relates to an image clarity measurement method utilizing multi-scale morphological features, belongs to the field of digital image processing, and mainly relates to mathematical morphology and image clarity measurement technology. And it has a broad application prospect in various image-based application systems. Background technique [0002] A clear image is the key to a large number of image-based applications, especially in the field of image-based automation applications, where automatic judgment of image clarity is crucial. An effective image sharpness measure should not only measure the sharpness of the image correctly, but also have a good ability to distinguish the change of the sharpness of the image. In order to effectively measure the sharpness of images, researchers have proposed various image sharpness metrics. The standard deviation is an important index to measure the gray scale change of the image, and it can also be use...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 白相志周付根
Owner BEIHANG UNIV
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