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Image processing method

An image processing and image technology, applied in the field of image processing, can solve problems such as difficult to achieve, achieve the effect of reducing requirements, good technical effects, and simplifying the difficulty of image processing

Active Publication Date: 2015-05-20
山东泰金精锻股份有限公司
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AI Technical Summary

Problems solved by technology

Computers are far superior to humans in terms of computing speed and data storage, but it is difficult to reach the level that an ordinary person can achieve in terms of recognizing different objects in images, etc.

Method used

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Examples

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Embodiment Construction

[0036] A specific example is provided below to illustrate the implementation of the present invention.

[0037]In this illustrative example, the computation of classification distance between pixels is redefined for, but not limited to, classifying pixels in an image into a set of superpixels. The method is mainly to classify multiple pixel sets with lower classification distances into individual superpixels through iterative calculation. This classification distance combines the color distance and the geometric distance of the reference pixel. Among them, the color distance mainly adopts the CIELAB color space close to human vision, and mainly calculates the angular difference of the polar coordinates of two pixel colors in this CIELAB color space. In addition, for daytime or nighttime scenes, different weights are given to several dimensions of the color distance in the classification distance. In addition, when the vividness is below a predetermined threshold, the weight ...

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Abstract

The invention relates to an image processing method. The method comprises the steps: converting a plurality of pixel sets of an image into a color space, wherein the color space comprises a color subspace and a brightness subspace, and the color subspace mainly corresponds to a spectral frequency position of visible light; carrying out first class distribution statistics on corresponding visible light spectral frequency positions of the pixel sets of the image in the color subspace, and carrying out second class distribution statistics on corresponding brightness values of the pixel sets of the image in the brightness subspace; clustering the pixel sets of the image by using the first class distribution statistics and the second class distribution statistics, so as to form a plurality of image blocks; carrying out subsequent process on the image by using the image blocks. According to the image processing method, through color dimension reduction processing, the difficulty of image processing is greatly lowered, the increase of image processing speed is facilitated, and the requirements on image processing hardware are lowered.

Description

technical field [0001] The invention relates to an image processing method, in particular to a technology for quickly recognizing images by a computer through dimensionality reduction processing, specifically a superpixel clustering parallel processing method based on human perception characteristics of color multi-scale images. technical background [0002] The current electronic computer technology has been developed by leaps and bounds, but there are still many problems to be solved in the fields of machine learning and pattern recognition. Computers are far superior to humans in terms of computing speed and data storage, but it is difficult to reach the level that an ordinary person can achieve in terms of recognizing different objects in images. [0003] However, many scientists and engineers are still working day and night to find better methods of machine vision, machine learning and artificial intelligence, because technological breakthroughs in these areas will grea...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 郑李明崔兵兵
Owner 山东泰金精锻股份有限公司
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