A Fast Threshold Segmentation Method for Shoe Print Images under Bad Exposure Conditions

A technology of exposure condition and threshold value segmentation, which is applied in image analysis, image enhancement, image data processing, etc., and can solve problems such as imprint residue, shoe print image underexposure, and wrong segmentation

Active Publication Date: 2021-07-06
LIAONING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Conversely, for a class of shoe print images with small grayscale differences, little difference between the grayscale values ​​of the target and the background, and complex lighting conditions, the segmentation results are prone to missegmentation
Especially when the stamper imaging equipment is aging or used too many times, the shoe print image will be underexposed, overexposed or imprinted, and the typical threshold segmentatio...

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  • A Fast Threshold Segmentation Method for Shoe Print Images under Bad Exposure Conditions
  • A Fast Threshold Segmentation Method for Shoe Print Images under Bad Exposure Conditions

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Embodiment Construction

[0034] A fast threshold segmentation method for shoe print images under poor exposure conditions, such as figure 1 As shown, follow the steps below;

[0035] Step 1. Input the shoe print image I to be segmented, and set its height as H , with a width of W ;

[0036] Step 2. Convert the color space of image I to HSV space, and retain its brightness component V;

[0037] Step 3. Use the maximum inter-class variance method to segment the brightness component V to obtain the pre-segmentation result I 1 ;

[0038] Step 4. Calculate I 1 The 4-connected region, and according to the area of ​​the connected region, for I 1 Each 4-connected region of is non-increasingly arranged to form a sequence of connected regions;

[0039]Step 5. Calculate the bounding rectangle of each 4-connected region, and then make the height of the bounding rectangle greater than aH , and the width is greater than wxya Those 4-connected regions of are removed from the sequence of connected regions,...

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Abstract

The invention discloses a fast threshold segmentation method suitable for shoe print images with poor exposure quality. Firstly, the image is pre-segmented, and the structural elements used in the morphological operation are adaptively determined according to the distribution characteristics of its 4-connected regions. Radius; secondly, use morphological opening operation to eliminate the influence of poor exposure or equipment artifacts, and then perform grayscale transformation to enhance image contrast; finally, use morphological dilation to remove residual non-shoe print pixels to obtain the final shoe print image. This method does not require human interaction, and can segment shoe print images in large batches and fully automatically. It is significantly better than manual segmentation methods and iterative segmentation methods in terms of time efficiency, and the segmentation accuracy is higher than traditional global threshold segmentation methods and iterative segmentation methods.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a shoe print image under bad exposure conditions with high segmentation accuracy and good real-time performance, which can effectively improve the mis-segmentation phenomenon existing in traditional global threshold segmentation under the condition of low exposure quality. Fast Thresholding Segmentation Method. Background technique [0002] Shoe prints are one of the most commonly encountered traces at crime scenes, and are also one of the important bases for investigators to discover clues to solve crimes, reveal and prove crimes. In shoe print image processing, people often only need to extract a specific part of the shoe print, and hardly pay attention to its background area. In this case, it is necessary to segment the shoe print part from the image. [0003] A case will be exposed to two types of shoe print images during the detection process: The image of the sho...

Claims

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Application Information

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IPC IPC(8): G06T7/136G06T7/187G06T7/90
CPCG06T2207/10024G06T2207/20192G06T7/136G06T7/187G06T7/90
Inventor 宋传鸣刘定坤傅博王相海
Owner LIAONING NORMAL UNIVERSITY
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