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Self-adaptive image processing method utilizing image statistic characteristics

A technology of image processing and statistical features, which is applied in image data processing, image analysis, image enhancement, etc., can solve the problems of complex and changeable visual images, unable to meet visual needs, etc.

Inactive Publication Date: 2012-10-10
中国船舶重工集团公司第七〇二研究所
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the visual images in actual situations are complex and changeable, and a single threshold setting obviously cannot meet the visual needs.

Method used

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  • Self-adaptive image processing method utilizing image statistic characteristics
  • Self-adaptive image processing method utilizing image statistic characteristics
  • Self-adaptive image processing method utilizing image statistic characteristics

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Embodiment Construction

[0019] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0020] Such as figure 1 Shown, the present invention utilizes the specific steps of the self-adaptive processing method of image statistical feature to be:

[0021] S01: Obtain the grayscale histogram of the digitized image

[0022] The grayscale histogram is a function of grayscale, which describes the number of pixels with this grayscale in the image: the abscissa is the grayscale, and the ordinate is the number of pixels that appear in the image at this level of grayscale ; For an example of a grayscale histogram, see figure 2 . The grayscale histogram function summarizes the grayscale content of an image and contains a considerable amount of information in the image.

[0023] The steps are to collect and read the digitized grayscale image, clear a two-dimensional image array, store the grayscale image in the two-dimensional image ar...

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Abstract

The invention relates to a self-adaptive image processing method utilizing image statistic characteristics, comprising the following steps of: firstly obtaining the grayscale histogram of digital images, computing to obtain the average grayscale, the maximum grayscale and the minimum grayscale of the images and adjusting the illuminating brightness; computing to obtain the grayscale mean square deviation of the images and preliminarily rejecting the images without targets; solving the grayscale values at the background peak value and the target peak value of the grayscale histogram and rejecting the images without targets again; obtaining the average energy, the grayscale bias coefficients and the peak value coefficients of the images and further rejecting the images without targets; and solving the optimum threshold for the division of the background and the target in the grayscale histogram by using an Otsu method so as to realize the multi-threshold division of the digital images. By means of the self-adaptive image processing method utilizing the image statistic characteristics, the thresholds required by the image processing can be automatically obtained according to the grayscale change and the distribution condition of the images and the requirements of the machine vision processing and understanding technologies under actual occasions are met.

Description

technical field [0001] The invention relates to the technical field of image processing and machine vision, in particular to an adaptive image processing method utilizing image statistical features, which is mainly applied to optical vision processing of underwater robots. Background technique [0002] Simply put, machine vision is aimed at independent robots, providing them with eyes with optic nerve functions through the sensing, collection, conversion and processing of visual information data. In the process of visual processing and reasoning, processing includes visual signal processing techniques such as the extraction and solution of interested information, and reasoning is mainly a high-level logical reasoning activity based on existing and newly acquired multi-faceted knowledge information. Machine vision uses advanced computers and processors to analyze digital images through digital technology to achieve visual perception. Its core is to understand images, and imag...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06T5/40
Inventor 徐鹏飞
Owner 中国船舶重工集团公司第七〇二研究所