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Medical image segmentation method based on horizontal collection and watershed method

An image and narrow-band technology, applied in the field of image processing, can solve problems such as non-existent segmentation methods, and achieve the effect of improving the speed of segmentation and wide adaptability

Inactive Publication Date: 2004-01-28
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

However, since image segmentation can only use some features in image information to segment regions, various methods must have limitations and pertinence, and various methods can only be selected according to the needs of various practical application fields. There is no general method for splitting

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  • Medical image segmentation method based on horizontal collection and watershed method
  • Medical image segmentation method based on horizontal collection and watershed method
  • Medical image segmentation method based on horizontal collection and watershed method

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Embodiment Construction

[0044] The core idea of ​​the present invention is to combine the Watershed algorithm with the improved Fast Marching method for image segmentation. Due to the introduction of the Watershed algorithm to over-segment the image, this method only needs to calculate the arrival time from the seed point to the boundary of the area where it is located. For other pixels inside the area, the arrival time of the seed point does not need to be calculated, so the calculation speed of the algorithm will be greatly improved. Moreover, we redefine the speed function of the FastMarching method according to the similarity of statistical properties between regions.

[0045] The medical image segmentation algorithm of the present invention will be described in detail below in conjunction with the accompanying drawings. As a specific implementation scheme, the structural block diagram is shown in figure 1 . It mainly includes four steps: anisotropic diffusion filtering, Watershed method for ...

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Abstract

The method includes following procedures. Anisotropy diffusion filtering is adopted to remove noise. Excessive segmentation is carried out for images by using Watershed method. Stack data structure is built to locate mesh point with minimum time T in narrow band. Fast marching method makes final segmentation for images. The invention raises speed of segmenting medical image greatly by using Watershed method and improved Fast Marching method, possessing wide adaptability no mater CT image or MR image. Thus, the invention has important application value in area of computer-aided diagnosis and treatment.

Description

technical field [0001] The invention relates to image processing, in particular to a method for medical image segmentation in combination with Watershed (watershed) method and level set. Background technique [0002] In the research and application of images, people are often only interested in certain parts of the image. Image segmentation is to use some features in the image information to extract several areas of interest in the image. The area of ​​interest is usually called the target or foreground (the rest is called the background). On this basis, the feature extraction and measurement of the target can be performed. , thus enabling higher-level analysis and understanding. Available features for image segmentation include image grayscale, color, texture, local statistical features or spectral features, etc. [0003] Image segmentation is a key step from image processing to image analysis, and it is also the main problem in low-level vision in the field of computer v...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06T5/20G06T7/00
CPCY02A90/10
Inventor 朱付平田捷
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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