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Vein image enhancement method based on maximum curvature method and multi-scale Hessian matrix

A vein image, maximum curvature technology, applied in image enhancement, image data processing, blood vessel pattern and other directions, can solve the problems of blurred vein texture edge, poor visual effect, low image contrast and so on

Inactive Publication Date: 2020-12-01
南京知谱光电科技有限公司
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Problems solved by technology

However, near-infrared imaging has shortcomings such as low image contrast, low signal-to-noise ratio, blurred vein texture edges, and poor visual effects, which are not enough for direct imaging or auxiliary diagnosis and treatment.

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  • Vein image enhancement method based on maximum curvature method and multi-scale Hessian matrix
  • Vein image enhancement method based on maximum curvature method and multi-scale Hessian matrix
  • Vein image enhancement method based on maximum curvature method and multi-scale Hessian matrix

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Embodiment Construction

[0068] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0069] The vein enhancement method (EMC), which combines the maximum curvature method and the single-scale Hessian matrix enhancement, can extract the main vein structure well, but loses the thin and deep veins. In order to obtain more details of veins, this section proposes to fuse the Hessian enhancement features of different scales of the vein centerline.

[0070] The diameters of veins in vein images are different, and the vein structure extracted by single-scale Hes...

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Abstract

The invention discloses a vein image enhancement method based on a maximum curvature method and a multi-scale Hessian matrix, and belongs to the technical field of superficial vein distribution imageacquisition and processing. The method comprises the following steps: firstly, determining vein center lines in four directions, setting the range and iteration step length of a scale factor, then initializing the scale factor and then carrying out Hessian enhancement to obtain an enhanced image, and then carrying out iteration on the scale factor until the scale factor exceeds the maximum value of the range; comparing the enhancement results in all directions, and keeping the maximum value; and finally, adding the maximum values in the four directions correspondingly to obtain a final enhancement result. According to the vein image enhancement method based on the maximum curvature method and the multi-scale Hessian matrix, an extracted vein structure is complete and coherent, details arerich, and the situations of line breakage and unobvious thin and weak vein enhancement effect in the enhancement result of a single-scale method are improved.

Description

technical field [0001] The invention relates to a vein image enhancement method based on a maximum curvature method and a multi-scale Hessian matrix, and belongs to the technical field of acquisition and processing of superficial vein distribution images. Background technique [0002] The acquisition and processing of images of superficial vein distribution is one of the important research topics in the field of biomedical imaging, and has important application value in the fields of medical diagnosis and treatment and biometric recognition. For example, in the field of clinical medicine, the feature extraction of superficial veins helps to improve the success rate of venipuncture and assist in the diagnosis and treatment of vascular diseases, etc.; as a living feature, superficial veins are universal and unique, and difficult to forge or change. It is more user-friendly and secure for biometrics. However, due to different factors such as skin pigment, blood vessel thicknes...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50G06K9/00G06K9/46
CPCG06T5/50G06V40/10G06V40/14G06V10/464G06V10/44G06T5/70
Inventor 韩静赵壮张毅陈霄宇郭恩来
Owner 南京知谱光电科技有限公司
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