Three-dimensional image segmentation method based on three-dimensional improved pulse coupled neural network

A pulse-coupling nerve, three-dimensional image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of slow speed and low efficiency, and achieve the effect of improving efficiency and real reconstruction effect.

Inactive Publication Date: 2010-06-02
SHANGHAI UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem of slow speed and low efficiency in the existing three-dimensional image segmentation, expand the two-dimensional PCNN model into a three-dimensional space model, and provide a three-dimensional image segmentation method based on a three-dimensional improved pulse-coupled neural network

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  • Three-dimensional image segmentation method based on three-dimensional improved pulse coupled neural network

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Embodiment 1

[0031] refer to figure 1 , a three-dimensional image segmentation method based on a three-dimensional improved pulse-coupled neural network, the operation steps are:

[0032] (1) Read the image sequence.

[0033] (2) Use the 3D IPCNN segmentation algorithm to segment the read image sequence as a whole to obtain a binary image sequence.

[0034] (3) Using mathematical morphology method to smooth the edge of the region of interest.

[0035] (4) Reconstruct the region of interest with the method of volume rendering.

Embodiment 2

[0037] This embodiment is basically the same as Embodiment 1, and the special features are:

[0038] see figure 2 , the IPCNN segmentation algorithm model is extended from two-dimensional to three-dimensional, and the 3D IPCNN segmentation algorithm model consists of three parts: receptive field, modulation part and pulse generation. Its principle mathematical equation is described as:

[0039] f ijk [n]=I ijk (1)

[0040] L ijk [n]=∑W ijklmn Y lmn [n-1] (2)

[0041] u ijk [n]=F ijk (1+βL ijk [n]) (3)

[0042] Y ijk [ n ] = 1 U ijk [ n ] > θ ijk [ n - ...

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Abstract

The invention relates to a three-dimensional image segmentation method based on a three-dimensional improved pulse coupled neural network, which comprises the steps of: expanding an improved pulse coupled neural network (IPCNN) to a three-dimensional plane from a two-dimensional plane; carrying out binary segmentation by using an IPCNN segmentation algorithm principle and an image sequence space relation; smoothing the edge of a region of interest by adopting morphology; and finally, reconstructing the region of interest by using a volume rendering method. The method quickens the operation speed under the premise condition of ensuring the segmentation quality, and achieves more ideal segmentation effect.

Description

technical field [0001] The invention relates to a three-dimensional image segmentation method based on a three-dimensional improved pulse coupled neural network (Three Dimension Improved Pulse Coupled Neural Network, 3D IPCNN). Background technique [0002] Image segmentation is the most important research field in fields such as image processing and computer vision. On the one hand, image segmentation is the basis of object expression and has an important impact on feature measurement; on the other hand, its segmentation-based object expression, feature extraction, and parameter measurement can transform the original image information into a more abstract and compact form, making Higher levels of image analysis and understanding are possible. Therefore, image segmentation is also an important step in the pre-processing of image analysis and image recognition. [0003] At present, image segmentation algorithms can be mainly divided into three categories: region-based segme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/187
Inventor 常谦施俊
Owner SHANGHAI UNIV
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