Image enhancement method for building center operator by means of mathematical morphology top hat selection transformation

A mathematical morphology and central operator technology, applied in image enhancement, image data processing, calculation, etc., can solve problems such as difficult to obtain visual effect images, loss of image detail information, etc.

Inactive Publication Date: 2015-02-25
BEIHANG UNIV
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Problems solved by technology

Various traditional algorithms may over-enhance the image and other problems, it is difficul

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  • Image enhancement method for building center operator by means of mathematical morphology top hat selection transformation
  • Image enhancement method for building center operator by means of mathematical morphology top hat selection transformation
  • Image enhancement method for building center operator by means of mathematical morphology top hat selection transformation

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Embodiment Construction

[0061] 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 flow chart of the present invention is as figure 1 Shown, the specific implementation steps of the present invention are as follows:

[0062] Step 1: Construct SAO based on bright and dark feature alternation operator by top-hat selection transformation 1 (f), SAO 2 The central operator SMC(f) and anticentral operator of (f)

[0063] Mathematical morphology has been widely used in the fields of image processing and pattern recognition (see literature: Zhen et al., Image Analysis and Mathematical Morphology, Academic Press, New York, 1982, (J.Serra, Image analysis and mathematical morphology, Academic Press, New York, 1982), Pierre et al., Morphological image analysis-principle and applications, Springer, Germany, 2003 (P.Soille, Morphological image analy...

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Abstract

The invention relates to an image enhancement method for building a center operator by means of mathematical morphology top hat selection transformation. The method comprises the steps that structural elements of n different dimensions are set for calculation, and top hat selection transformation builds the center operator and an anticenter operator at first; a result image obtained after the built center operator is smoothed is compared with an original image to obtain bright features and dark features; the dimensions of the structural elements are changed, and the bright features and the dark features corresponding to the structural elements of the n different dimensions respectively are extracted through the center operator and the anticenter operator; the bright features and the dark features obtained through all the n dimensions form final bright features and dark features; finally, the extracted final bright features and dark features are introduced on the original image in a contrast enhancement mode to achieve the image enhancement purpose. The image enhancement method is widely applied in all kinds of application systems based on images, and has the broad market prospect and high application value.

Description

technical field [0001] The invention relates to an image enhancement method using mathematical morphology top-hat selective transformation to construct a central operator, belongs to the field of digital image processing, and mainly relates to mathematical morphology and image enhancement technology. In various image-based application systems, especially in image analysis, it has broad market prospects and application value. Background technique [0002] Image enhancement technology for important features is an important image technology, widely used in biomedical engineering, security monitoring, geographic science and other fields. The key to image enhancement technology is to enhance the important features in the image to obtain good visual effects, so as to better utilize image information in different practical applications. In image enhancement, it is very important to enhance the important features of the image and obtain the enhancement results without noise or with...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 白相志刘妙明
Owner BEIHANG UNIV
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