Cotton impurity high speed real-time detection method based on HSI color space
A real-time detection and color space technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems of image resolution reduction, cotton impurity detection quality reduction, and image acquisition is limited by algorithm processing speed, so as to improve accuracy and resolve resolution The effect of low rate and fast recognition speed
Active Publication Date: 2011-08-10
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0004] In order to solve the problem that the image acquisition in the prior art is limited by the processing speed of the algorithm, the technical solution of reducing the image acquisition speed is adopted, the image resolution is reduced, and the quality of cotton impurity detection is reduced. The present invention aims to improve the quality of cotton impurity detection. , the present invention provides a high-speed real-time detection method of cotton impurities based on hue, saturation, and grayscale HSI color space in practical industrial applications
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[0028] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.
[0029] Use high-speed CCD line scan camera to collect images, use 3D-LUT technology to quickly obtain HSI images; conduct self-learning process on cotton and background images; use the parameters obtained from the self-learning process to identify impurities, and use color motion compensation technology. The impurity point is re-certified.
[0030] Such as figure 1 , as shown in the high-speed real-time detection method of cotton impurities based on HSI hue, saturation and grayscale color space, the method comprises three major steps:
[0031] The first step S1 is to collect cotton image information;
[0032] The second step S2, image format conversion;
[0033] The third step S3, the discrimination of tr...
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The invention provides a cotton impurity high-speed real-time detection method on the basis of tone, saturation and grey HSI color space, comprising the steps as follows: image format of image information of the collected cotton is converted so as to obtain HSI images and carry out the operation and recognition, thus learning training process and impurity detection process; combination self-learning of cotton image information and background image information is carried out; impurity information of the cotton is recognized and the positioning results for real impurities of the cotton are output. A three-dimensional look up table (3D-LUT) technique is used for quickly obtaining HSI images; the impurity recognition is carried out by the parameters obtained during the self-learning process; furthermore, by virtue of a color movement compensation technique, the impurities are re-authenticated. The detection method can achieve the whole process of collection of 80-line cotton stream images, conversion of image formats, detection and positioning of the impurities and the like within 10ms. Under the condition that the cotton stream speed is 18m / s and the impurity size is 2 multiplied by 2mm<2>, the impurity recognition correct rate can reach 95.4 percent.
Description
technical field [0001] The invention belongs to the technical field of machine vision systems, in particular to a method for automatic sorting and real-time detection of cotton impurities. Background technique [0002] Cotton is often mixed with some impurities in the process of picking, transportation and processing. These impurities not only affect the price of cotton, but also seriously affect the quality of subsequent processing of cotton. In order to ensure the quality of cotton, cotton textile enterprises mainly use manual sorting to remove impurities. Manual sorting is not only labor-intensive and inefficient, but it is also difficult to control the sorting effect due to the greater influence of human subjective factors. [0003] In recent years, because the machine vision system can quickly acquire and process a large amount of information, it has been widely used in various fields such as working condition monitoring, finished product inspection and quality control...
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IPC IPC(8): G01N21/95
Inventor 高伟王志衡胡占义
Owner INST OF AUTOMATION CHINESE ACAD OF SCI