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Active contour image segmentation method and device based on improved SPF

An image segmentation and active contour technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as slow calculation speed, complex symbol pressure structure, etc., to solve segmentation problems, overcome noise and initial contour sensitivity, and calculate simple effect

Active Publication Date: 2018-08-28
HENAN NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method and device for segmenting active contour images based on improved SPF, in order to solve the problems of complex structure and slow calculation speed of symbolic pressure in the prior art

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  • Active contour image segmentation method and device based on improved SPF

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Embodiment approach 1

[0147] Embodiment 1, figure 2 It is the initial contour of the weak boundary image segmentation, and the image size is 100×100 pixels. Figure 7 in by image 3 with Figure 5 It can be seen that the CV model and the SGBFRLS model have under-segmentation phenomenon. This is because these two models only use the global information of the image, and cannot well segment the weak boundary or inhomogeneous images. The other three models all use the local information of the image, which can well complete the segmentation of the weak boundary image. The segmentation results are as follows Figure 4 , Image 6 with Figure 7 As shown, the segmentation efficiency of the LBF model and the LIF model is not as good as the model proposed by the present invention, and the results are shown in Table 1. This shows that the model proposed by the present invention can handle weak boundary images well.

Embodiment approach 2

[0148] Embodiment 2, Figure 8 It is the segmentation initial contour of the uneven grayscale image, and the image size is 256×256 pixels. Figure 13 in by Picture 10 with Picture 12 It can be seen that the LBF model and the LIF model cannot segment the gray-scale uneven image well. However, the CV model and the SBGFRLS model have under-segmentation phenomenon in a local area. Picture 9 with Picture 11 Shown by Figure 13 It can be seen that the model proposed by the present invention can deal with uneven grayscale images well. This shows that the model of the present invention can better segment gray-scale uneven images.

Embodiment approach 3

[0149] Embodiment 3, Figure 14 It is the initial contour of the segmentation of the multi-target image, and the image size is 256×256 pixels. Figure 19 in by Figure 17 It can be seen that the SBGFRLS model only segmented the outer boundary of the image, and the hollow part was not segmented. Although the CV model and the LIF model have segmented the boundaries, the segmentation line is very rough, and there is under-segmentation in a small area. The results are as follows Figure 15 with Figure 18 Shown. Figure 16 with Figure 19 It is the segmentation result of the LBF model and the model of the present invention. From Table 1, it can be seen that the segmentation efficiency of the model of the present invention is better than that of the LBF model. In summary, the model of the present invention can efficiently complete the segmentation of multi-target images.

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Abstract

The invention relates to the field of image segmentation, and particularly relates to an active contour image segmentation method and device based on improved SPF. According to the method, firstly, asign pressure function is redefined based on the global information of the image, and then a local image fitting LIF model is introduced, finally, a weight function model is established based on imagelocal and global information, the self-adaptive adjustment of the weights between the local information items and the global information items is achieved, and a new level set evolutionary equation is obtained. According to the method, the problem that the gray non-uniform image cannot be accurately segmented by only utilizing the image global information is solved, and the defect that a model based on the image local information is sensitive to noise and initial contour is overcome. The method is simple in calculation and high in convergence speed, and can effectively solve the problem of segmentation of multi-target and gray non-uniform images, and meanwhile, the robustness for the initial contour and the noise is relatively high.

Description

Technical field [0001] The present invention relates to the field of image segmentation, in particular to an active contour image segmentation method and device based on improved SPF. Background technique [0002] Image segmentation is the most basic and important problem in the fields of image processing, image analysis, image understanding, image recognition, and computer vision. It plays an important role in pattern recognition systems that take images and videos as research objects. The image is divided into areas with certain characteristics according to the characteristics of the image, such as grayscale, color, and texture, and useful targets are extracted according to these characteristics. [0003] Active contour model is one of the important methods of image segmentation. The model evolves smooth and closed curves and restores the target boundary. It has the advantages of local adaptability, sub-pixel accuracy and open mode. According to the form of curve evolution, it c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/149
CPCG06T7/149
Inventor 孙林孟新超宋黎明陈岁岁孟玲玲王振华张霄雨刘弱南王蓝莹刘琛
Owner HENAN NORMAL UNIV
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