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Leather material surface defect detection method based on feature modeling significance detection

A defect detection, remarkable technology, applied in the direction of character and pattern recognition, image data processing, instruments, etc., can solve the problems of ineffective detection and positioning, and achieve the effect of convenient real-time processing, fast detection speed and shortened detection time

Pending Publication Date: 2022-04-08
NANJING INST OF TECH +1
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Problems solved by technology

[0003] Technical purpose: Aiming at the deficiency that unknown defects on the surface of existing leather materials cannot be effectively detected and located, the present invention discloses a method for detecting surface defects of leather materials based on feature modeling saliency detection

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  • Leather material surface defect detection method based on feature modeling significance detection
  • Leather material surface defect detection method based on feature modeling significance detection
  • Leather material surface defect detection method based on feature modeling significance detection

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Embodiment Construction

[0045] The present invention will be more clearly and completely described below by way of a preferred embodiment with reference to the accompanying drawings, but the present invention is not limited to the scope of the described embodiment.

[0046] The invention provides a leather material surface defect detection method based on feature modeling saliency detection, comprising steps:

[0047] S01, first collect the video information of the leather material, and select several frames of images in the video as images to be detected;

[0048] In a specific embodiment, a frame image is acquired every 1 second in the collected video as the image to be detected;

[0049] S02, then adopting a bottom-up model to perform preliminary acquisition of a saliency image to obtain a first saliency image;

[0050] The process of obtaining the first saliency image includes steps:

[0051] S021. First divide the image to be detected into a central area and an edge area, the central area is con...

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Abstract

The invention discloses a leather material surface defect detection method based on feature modeling saliency detection, and the method comprises the steps: S01, collecting the video information of a leather material, and selecting a plurality of frames of images from a video as to-be-detected images; s02, performing preliminary acquisition of a saliency image by adopting a bottom-up model to obtain a first saliency image; s03, enhancing the first saliency image by using an equal-area multi-histogram equalization algorithm to obtain a second saliency image; s04, processing the second saliency image based on super-pixel re-optimization to obtain a third saliency image; and S05, finally, marking the position of the defect according to the third saliency image, and carrying out adaptive thresholding on the obtained third saliency image by using a global threshold method.According to the method, the calculation amount of the algorithm is effectively reduced, and the detection speed is high and the detection result is more stable and accurate under the condition that the detected defects are different in size and are dispersed in a plurality of areas of the leather material.

Description

technical field [0001] The invention relates to the technical field of material defect detection, in particular to a method for detecting surface defects of leather materials based on feature modeling saliency detection. Background technique [0002] At present, my country's leather products industry has long relied on manual processes to detect and locate defects on the entire leather. However, due to the influence of factors such as lighting conditions, different workers' experience, and changes in emotions, physical strength, and working hours, it is easy to cause problems such as low efficiency in detection and layout cutting. At present, researchers at home and abroad have proposed many different methods for the detection of leather surface defects, but most of them are based on the detection of local defects on the leather surface and the classification of known clear defects, and fail to effectively detect the defects of the entire leather at one time. Detection and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60G06T7/90G06K9/62G06V10/762
Inventor 高阳陈烨宋晓凤路绳方孟琳宋姗姗焦良葆
Owner NANJING INST OF TECH
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