Segmentation-of-Ultrasound-Images-master
所属分类：其他
开发工具：matlab
文件大小：225KB
下载次数：8
上传日期：2020-04-14 09:47:05
上 传 者：
光子2019
说明： 该功能用于超声相控阵图像处理，可以有效进行图像分割，并对囊肿特征提取
(This function is used for ultrasonic phased array image processing, which can effectively perform image segmentation and extract cyst features)
文件列表:
Code (0, 2017-03-23)
Code\1.jpg (9580, 2017-03-23)
Code\2.jpg (5459, 2017-03-23)
Code\3.jpg (6890, 2017-03-23)
Code\AnisotropicDiffusion.m (1415, 2017-03-23)
Code\GVF.m (415, 2017-03-23)
Code\imdisp.m (257, 2017-03-23)
Code\main.m (1689, 2017-03-23)
Code\snakedeform.m (1272, 2017-03-23)
Code\snakedisp.m (368, 2017-03-23)
Code\snakeindex.m (156, 2017-03-23)
Code\snakeinit.m (1736, 2017-03-23)
Code\snakeinterp.m (1114, 2017-03-23)
Result (0, 2017-03-23)
Result\Final Result 1.JPG (20689, 2017-03-23)
Result\Final Result 2.JPG (22154, 2017-03-23)
Result\Final Result 3.JPG (15058, 2017-03-23)
Result\Initial Contour1_1.JPG (20362, 2017-03-23)
Result\Initial Contour1_2.JPG (25789, 2017-03-23)
Result\Initial Contour2_1.JPG (16262, 2017-03-23)
Result\Initial Contour2_2.JPG (22167, 2017-03-23)
Result\Initial Contour3_1.JPG (14526, 2017-03-23)
Result\Initial Contour3_2.JPG (19271, 2017-03-23)
Result\Preprocessed Image 1.JPG (33211, 2017-03-23)
Result\Preprocessed Image 2.JPG (39020, 2017-03-23)
Test Images (0, 2017-03-23)
Test Images\1.jpg (9580, 2017-03-23)
Test Images\2.jpg (5459, 2017-03-23)
Test Images\3.jpg (6890, 2017-03-23)
# Segmentation-of-Ultrasound-Images
## About This Project
The purpose of this study is the contour extraction of a region of interest in ultrasonic images. I applied the anisotropic diffusion algorithm to preprocess images, then an active contour model using a gradient vector flow was employed. In the end, the contour of a lesion area of the ultrasonic images were extracted.
--------------------Author by Yao Zhang
## MATLAB Function
* Main.m -click to run the whole problem
* AnisotropicDiffusion.m -Used for smooth image preserving the edges in the image at same time.
* GVF.m -Compute the gradient vector flow.
* imdisp.m -scale the dynamic range of an image and display it.
* snakedeform.m -In this function, the initial contour of Active Contour Model(Snake) will be deformed in the given external
force field.
* snakedisp.m -Display the snake model contour
* snakeindex.m -Create index for adaptive interpolating the snake
* snakeinit.m -Implement Canny Operator to initialize initial contour line for Active Contour Model
* snakeinterp.m -interpolate the snake adaptively
## Result
### Preprocessed Images Result
So we can actually see that images noise are removed and the edges of object in the images are preserved.
### Finial Result
There are initial contour line found by Canny Operator and corresponding final segmentation result.
1. First Example
* Final result
2. Second Example
* Final result
3. Third Example
* Final result
## Reference
* Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on pattern analysis and machine intelligence, 1990, 12(7): 629-639.
* Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models[J]. International journal of computer vision, 1***8, 1(4): 321-331.
* Yang-xu C. Snakes, shapes, and gradient vector flow[C]//Inter-national Conference on Image Processing. 2002, 9(2): 17-820.
* Gradient Vector Flow (GVF) Active Contour Toolbox by Chenyang Xu and Jerry Prince
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