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Color recognition method based on improved SLIC super-pixel segmentation algorithm

A technology of superpixel segmentation and color recognition, which is applied in the field of computer vision and image recognition, and can solve the problems of time-consuming and disadvantageous overall image analysis.

Active Publication Date: 2016-02-24
ANHUI CREARO TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional color image recognition technology usually judges the color of each pixel in the image based on the RGB color space, which is time-consuming and not conducive to the overall analysis of the image

Method used

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  • Color recognition method based on improved SLIC super-pixel segmentation algorithm
  • Color recognition method based on improved SLIC super-pixel segmentation algorithm
  • Color recognition method based on improved SLIC super-pixel segmentation algorithm

Examples

Experimental program
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Embodiment 1

[0054] like figure 1 Shown is a flow chart based on SLIC color recognition, the method includes the following steps:

[0055] A color recognition method based on an improved SLIC superpixel segmentation algorithm, the steps are as follows:

[0056] (1) Load the Lab color mode sample set;

[0057] (2) Obtain the color image of the target to be identified and use the median filter to smooth the image and suppress noise, and then perform gamma correction on it to improve the contrast of the color image; thus avoiding a large number of tiny images after SLIC image segmentation area, the median filter can effectively preserve the boundary while smoothing the image and suppressing noise, such as figure 2 Shown is a schematic diagram of smoothing the image and suppressing noise on the 3×3 template using the median filter, from figure 2 It can be seen that if the pixel point is a noise point (larger pixel value), it is represented by the pixel point in the surrounding area, and t...

Embodiment 2

[0094] Embodiment 2: Take the identification of blue color as an example to specifically illustrate its identification method:

[0095] (1) Load the Lab color mode sample set, the types of the color sample set include: black, red, yellow, blue, green, white and unknown;

[0096] (2) Obtain the color image of the target to be identified and use the median filter to smooth the image and suppress noise, and then perform gamma correction to improve the contrast of the color image;

[0097] (3) Use the SLIC superpixel segmentation algorithm to perform superpixel segmentation processing on the preprocessed target color image, and segment the input picture into 500 different superpixel regions for an image of 612*563 size, and the number of iterations is 20 times;

[0098] (4) Carry out mean value processing to each superpixel region segmented through step (3), so that all pixel values ​​in each single superpixel region are the same;

[0099] (5) After processing in (4), the pixel v...

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Abstract

The invention discloses a color recognition method based on an improved SLIC super-pixel segmentation algorithm. The method comprises the following steps: (1) loading a Lab color mode sample set; (2) acquiring a to-be-recognized target color image, performing filtering and correction preprocessing on the target color image; (3) processing the preprocessed target color image through the adoption of the SLIC super-pixel segmentation algorithm to segment a plurality of super-pixel regions; (4) performing mean value processing on each segmented super-pixel region so that all pixel values in single super-pixel region are the same; (5) comparing one pixel value in the super-pixel region with the color in the sample set loaded in the step (1) through the adoption of the mahalanobis distance, wherein the color corresponding to the minimum value of the mahalanobis distance is the color of the super-pixel region. The method of processing every pixel in the traditional color recognition is changed, the operation processing speed and the recognition precision are greatly improved.

Description

technical field [0001] The invention relates to the technical fields of computer vision and image recognition, in particular to a color recognition method based on an improved SLIC superpixel segmentation algorithm. Background technique [0002] Compared with grayscale images, color images have more information. The color recognition of color images is of great significance in real-time detection systems and automatic control. It has been widely used in modern production and scientific research, such as It has been widely used in remote sensing technology, industrial process control, material sorting and identification, image recognition and product quality inspection. [0003] The traditional color image recognition technology usually judges the color of each pixel in the image based on the RGB color space, which is time-consuming and not conducive to the overall analysis of the image. Since image colors are generally gradual, one color does not have only one pixel, so in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/23
Inventor 张芝华纪勇张传金姚莉莉谢宝万海峰
Owner ANHUI CREARO TECH
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