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Scene image de-noising method based on Type-2 fuzzy logic system

A fuzzy logic system and scene image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as unsatisfactory denoising effect

Inactive Publication Date: 2015-06-10
DONGGUAN POLYTECHNIC
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  • Abstract
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  • Claims
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Problems solved by technology

However, the existing support vector regression denoising algorithm does not fully consider the impact of the joint distribution density of the input and output samples on the regression model. , the denoising effect is not ideal

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  • Scene image de-noising method based on Type-2 fuzzy logic system
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Embodiment Construction

[0055] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do without departing from the connotation of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0057] Such as figure...

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Abstract

The invention discloses a scene image de-noising method based on a Type-2 fuzzy logic system and relates to the technical field of an ordinary image data processing or producing method. Distribution densities of input and output samples are respectively estimated by adopting a kernel density method and inputted into the Type-2 fuzzy logic system, and fuzzy weights of corresponding samples are obtained according to system reasoning to establish a region Type-2 fuzzy density weight support vector regression model which is applied to the scene image de-noising method to obtain better de-noising results. The fuzzy weights are designed by a novel fuzzy subordination degree design method based on the sample distribution density and have the obvious characteristics to support the regression precision of a vector machine.

Description

technical field [0001] The present invention relates to the technical field of general image data processing or generation methods, and in particular to a scene image denoising method based on a Type-2 fuzzy logic system. Background technique [0002] In machine vision, due to the limitations of various conditions and environmental interference, the images collected by the imaging system often contain a lot of noise. It is very important for the correct understanding and application of the image to eliminate the noise in the image while retaining useful information. Scene image denoising is the basic link of scene image processing. Its task is to remove useless information as much as possible, improve image quality, and lay the foundation for subsequent scene image processing. [0003] Support Vector Machine (SVM) is a new generation of machine learning method in the field of statistical learning proposed by Vapnik et al. It not only has a solid theoretical foundation, but ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 徐淑琼袁从贵朱彩莲
Owner DONGGUAN POLYTECHNIC
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