Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An automatic segmentation method of serialize visual human body slice images

An automatic segmentation and serialization technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of large interference in the extraction of regions of interest, uneven segmentation results, and seed point transmission errors, etc., to achieve reconstruction and Visualization, the effect of saving segmentation time

Active Publication Date: 2018-12-11
DALIAN UNIV OF TECH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this process, technicians need to repeatedly search for the best marked area, and depending on the implementer, the obtained segmentation results are also uneven.
The seed point of the first image is particularly important, which may directly affect the subsequent results, and the extraction of the region of interest in the image has a lot of interference. If the non-interest region has similar pixels to the region of interest, it can also be extracted. Therefore, the subsequent seed point There is a certain error in the transmission

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
  • An automatic segmentation method of serialize visual human body slice images
  • An automatic segmentation method of serialize visual human body slice images
  • An automatic segmentation method of serialize visual human body slice images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0034] Such as figure 1 A method for automatic segmentation of serialized visual human body slice images is shown. Firstly, the serialized color organ slice images are loaded, and the foreground and background seed points are manually selected on the first image, and the minimum cut algorithm based on energy optimization function is used to segment The first image stores the segmented binary image, extracts the foreground seed point based on the erosion algorithm on the binary image, extracts the background skeleton based on the thinning algorithm, and divides the next image according to the foreground seed point and background skeleton, such as figure 2 shown. Repeat the above steps until...

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 discloses an automatic segmentation method of serialized visible human body slice images. The method comprises the following steps: S1, selecting a serialized image of a color organ slice image; S2, segmenting the foreground region and the background region of the image by using the minimum cutting algorithm based on the optimized energy function; S3, extracting a seed point image ofa foreground region in the image based on an etching algorithm; S4, extracting a skeleton image of a background region in the image based on a thinning algorithm; S5, segmenting the second image of the serialized image according to the seed point of the foreground region and the skeleton of the background region. This method combines interactive segmentation and serialized automatic segmentation,reduces the robustness of segmentation affected by the complexity of medical images, and also greatly saves the segmentation time. The method has very important practical significance in the segmentation and extraction of human organs, quantitative analysis of human tissues and their pathological regions and other medical fields.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to a method for automatic segmentation of serialized visible human body slice images. Background technique [0002] In recent years, the research on visible human has deepened day by day, making it possible to use the visible human dataset and apply it to practical research. Manually extracting the desired tissues or organs during the 3D redrawing process of the dataset consumes a lot of manpower. Traditional image automatic segmentation algorithms cannot quickly and accurately segment different human tissues with very similar colors. The serialized automatic segmentation method based on spectral analysis and skeleton graffiti can identify the subtle color differences between tissues, and quickly, accurately and effectively separate the human tissues and organs required for research from the huge data set. Provide a reliable source of data for future medical research. ...

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
IPC IPC(8): G06T7/11G06T7/194
CPCG06T7/11G06T7/194G06T2207/30004
Inventor 刘斌吴倩雯李思美张竞一
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products