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Leather surface salient defect detection method, system and apparatus

A detection method, a significant technology, applied in the direction of image data processing, instrument, character and pattern recognition, etc., can solve the problems of inefficient recognition and detection, huge amount of calculation, poor versatility of image preprocessing algorithm, etc., to achieve work processing efficiency , Improve processing efficiency, improve versatility and practicability

Active Publication Date: 2018-03-27
佛山缔乐视觉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the currently commonly used leather defect detection technology based on machine vision, it still has some shortcomings, for example: 1. For the traditional machine vision-based leather defect detection technology, the image preprocessing algorithm it uses is less versatile ; 2. For the traditional machine vision-based leather defect detection technology, the amount of calculation is huge, resulting in the inability to efficiently identify and detect defects

Method used

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  • Leather surface salient defect detection method, system and apparatus
  • Leather surface salient defect detection method, system and apparatus
  • Leather surface salient defect detection method, system and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] like figure 1 Shown, a kind of detection method of leather surface significant defect, this method comprises the following steps:

[0062] acquiring a first image, wherein the first image refers to an image of a leather defect detection sample;

[0063] After the Gabor filter is used to filter the first image, a plurality of filtered images of different direction scales are output;

[0064] Selecting a filtered image with an optimal direction scale from a plurality of filtered images with different direction scales;

[0065] After performing salient target detection processing on the filtered image of the optimal direction scale, output a salient target image corresponding to the filtered image of the optimal direction scale;

[0066] After performing adaptive threshold image segmentation processing on the salient target image, the first binary image is output;

[0067] Utilizing the first binary image and image features extracted from the first binary image to train...

Embodiment 2

[0089] like figure 2 As shown, a detection system for significant defects on the leather surface, the system includes:

[0090] A first acquisition module, configured to acquire a first image, wherein the first image refers to an image of a leather defect detection sample;

[0091] The first processing module is used to output a plurality of filtered images of different direction scales after filtering the first image by using a Gabor filter;

[0092] The second processing module is used to select a filtered image with an optimal direction scale from a plurality of filtered images with different direction scales;

[0093] The third processing module is configured to output a salient target image corresponding to the filtered image of the optimal direction scale after performing salient target detection processing on the filtered image of the optimal direction scale;

[0094] The fourth processing module is configured to output the first binary image after performing adaptiv...

Embodiment 3

[0112] A device corresponding to the above method, a device for detecting significant defects on the leather surface, the device comprising:

[0113] memory for storing at least one program;

[0114] The processor is configured to load at least one program and execute the steps of the method for detecting significant defects on the leather surface of Embodiment 1 above.

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Abstract

The invention discloses a leather surface salient defect detection method, system and apparatus. The system comprises a first obtaining module, a first processing module, a second processing module, athird processing module, a fourth processing module, a fifth processing module and a sixth processing module. The method comprises the steps of selecting out a filtered image with an optimal direction scale from filtered images output by a Gabor filter; performing salient object detection processing and adaptive threshold image segmentation processing on the filtered image with the optimal direction scale in sequence to obtain a first binary image; performing training on an SVM by utilizing the first binary image; and processing the binary image corresponding to to-be-detected leather by utilizing the SVM. The apparatus comprises a memory and a processor. By using the leather surface salient defect detection method, system and apparatus, the universality and practicality of the leather defect detection method can be improved while the processing efficiency is improved. The leather surface salient defect detection method, system and apparatus can be widely applied to the field of leather detection.

Description

technical field [0001] The invention relates to defect detection technology, in particular to a method, system and device for detecting significant defects on the leather surface. Background technique [0002] Explanation of technical terms: [0003] Gabor filter: refers to a two-dimensional Gabor filter formed using the Gabor function, a linear filter for edge extraction. [0004] SVM: Refers to Support Vector Machine. [0005] In the production process of leather products such as leather bags, car seats, clothes, etc., quality control is particularly important. Therefore, leather is the raw material of these leather products, and its defect detection and positioning is an important task of quality control. At present, the detection of leather defects in the industry mainly relies on human eyes. However, the noisy factory environment, a large amount of inspection work, and the variety of leather defects make it difficult to meet the quality control requirements by relying...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T5/10G06T7/11G06T7/136G06T5/30G06T7/194G06K9/38G06K9/62
CPCG06T5/10G06T5/30G06T7/0002G06T7/11G06T7/136G06T7/194G06T2207/20081G06T2207/20056G06T2207/20032G06T2207/20024G06T2207/20104G06V10/28G06F18/2411G06T5/70
Inventor 林健发刘根肖盼黄冠成
Owner 佛山缔乐视觉科技有限公司
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