Near-infrared vein image processing method for filtering hair noise

A vein image and processing method technology, which is applied in the field of near-infrared vein image processing for filtering hair noise, can solve problems such as inability to accurately find hair noise, and achieves a technology that is beneficial to vein segmentation, subsequent image processing, and convenient filtering processing. Effect

Active Publication Date: 2021-03-19
TONGJI UNIV
View PDF9 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a filter for overcoming the defects in the above-mentioned prior art that the specific location of the hair noise cannot be accurately found, and the local image information has a large change, and cannot be directly applied to near-infrared superficial vein imaging. Near Infrared Vein Image Processing Method for Hair Noise Removal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Near-infrared vein image processing method for filtering hair noise
  • Near-infrared vein image processing method for filtering hair noise
  • Near-infrared vein image processing method for filtering hair noise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] The invention provides a near-infrared vein image processing method for filtering hair noise, comprising the following steps:

[0067] S1: Acquire the initial near-infrared vein image and visible light image of the part to be imaged, and perform size standardization;

[0068] S2: Perform grayscale processing on the visible light image acquired in step S1 to obtain a grayscale image;

[0069] S3: Perform block processing on the grayscale image acquired in step S2 to obtain a plurality of first sub-grayscale images, perform grayscale normalization processing and first filtering processing on each first sub-grayscale image, and obtain multiple first sub-grayscale images Two sub-grayscale images;

[0070] S4: According to the preset morphological structural elements, perform morphological dilation operation and morphological erosion operation on each second sub-grayscale image sequentially to obtain multiple third sub-grayscale images; performing grayscale value subtracti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a near-infrared vein image processing method for filtering hair noise, which comprises the following steps: 1) collecting a near-infrared vein image and a visible light imageof a part to be imaged, and carrying out size standardization; 2) graying the visible light image; 3) carrying out blocking, and gray normalization and first filtering on each sub-image after blocking; 4) sequentially performing morphological expansion operation and morphological corrosion operation on each sub-image; performing gray value subtraction operation on each subimage and the corresponding subimage; 5) performing binarization and second filtering on each sub-image; 6) obtaining a coordinate set of hair pixel points; and 7) filtering hair noise of the near-infrared vein image. Compared with the prior art, the invention has the advantages that the specific positions of the hair noise pixel points can be given, the hair noise can be processed more effectively and accurately, and meanwhile damage to vein information in the near-infrared image is small.

Description

technical field [0001] The invention relates to the field of near-infrared vein image processing, in particular to a near-infrared vein image processing method for filtering hair noise. Background technique [0002] Near-infrared light refers to electromagnetic radiation waves between visible light and mid-infrared light, and its wavelength roughly ranges from 780nm to 2500nm. Near-infrared light of a specific wavelength has some excellent properties that visible light does not have, so it is widely used by people. Due to the weak penetrability of visible light to human tissues such as skin and muscles, it is generally difficult to obtain information such as the structure of human surface veins under visible light irradiation; while near-infrared light with a wavelength of about 780nm to 1100nm has a relatively strong penetrating ability. Moreover, the hemoglobin in blood vessels easily absorbs near-infrared light in this band, so a typical application of near-infrared ligh...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/155G06T5/50
CPCG06T5/002G06T7/155G06T5/50G06T2207/10048G06T2207/20032G06T2207/30101
Inventor 齐鹏胡斌曹旭余有灵
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products