An immune-optimized active contour image segmentation method and its segmentation device
A technology of image segmentation and active contour, which is applied in image analysis, image enhancement, image data processing, etc. It can solve the problems of poor concave boundary processing effect and susceptibility to noise interference, so as to improve the phenomenon of noise sensitivity and robustness Sexuality, range-enhancing effects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0044] The X-ray welded joint defect segmentation method of the present invention can be set as an X-ray welded joint defect segmentation system, which includes an X-ray image acquisition module, a contour setting module, a welded joint defect segmentation module, and an immune-optimized active contour image segmentation device. Among them, the immune-optimized active contour image segmentation device includes a coding module, an initial antibody population generation module, an affinity calculation module, a selection module, an update times judgment module, an optimal antibody selection module, an antibody crossover module, an antibody variation module, the highest affinity The sum degree value is constant judgment module.
[0045] see figure 1 A method for segmenting defects in an X-ray welded joint includes the following steps.
[0046] 1. Obtain an X-ray image of the welded joint. This step is performed by the X-ray image acquisition module. In addition, Gaussian filter...
Embodiment 2
[0061] see figure 2 , the welding joint defect segmentation method of this embodiment includes the following steps
[0062] 1. Obtain an X-ray image of the welded joint.
[0063] After obtaining the X-ray image of the welded joint, Gaussian filtering can be used on the obtained X-ray image to reduce the image noise, and finally the pre-processed X-ray image of the welded joint with clearer target features is obtained, ready for subsequent welding Segmentation of joint defects.
[0064] 2. Set an initial contour v outside the target feature in the X-ray image 0 (s), v 0 (s)=[x 0 (s),y 0 (s)], s ∈ [0,1], x 0 (s) is the contour v 0 Set of x-axis coordinates of (s), y 0 (s) is the contour v 0 A collection of y-axis coordinates for (s).
[0065] 3. For the initial contour v 0 (s) Using the energy minimization principle of the active contour model to introduce constraint force and gradient force for multiple iterative contour evolution, the contour obtained by the final ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More