Description: 图形图像处理，形态学滤波器，脑部MRI图像。可用于图像平滑滤波。-Graphic image processing, morphological filters, the brain MRI images. Can be used for image smoothing filter. Platform: |
Size: 55296 |
Author:LiuKe |
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Description: 出了一种适合医学图像分割的改进分水岭算法，针对分水岭算法存在的过分割问题，采用数学
形态学重构滤波器和Ostu阈值分割方法对图像中感兴趣的目标和背景进行标记。根据标记的二值图像，
运用形态学极小值标定技术对原有梯度图像进行修正。最后，使用分水岭算法对修正的梯度图像进行分割。该方法能有效抑制过分割现象，而且计算复杂程度较低、分割效果较好。-Out of a medical image segmentation for improved watershed algorithm for segmentation of watershed algorithm over the problem, using the mathematical morphology reconstruction filters and Ostu thresholding segmentation interested in the image and the object and the background to tag. Binary image according to the marks, the use of minimum calibration technique morphological gradient image of the original amendment. Finally, the gradient of the modified watershed algorithm to segment the image. This method can effectively suppress the phenomenon of over-segmentation, and low computational complexity, segmentation is better. Platform: |
Size: 199680 |
Author:xiliao |
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Description: 基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下
的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真
计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高
振动信号的信噪比。-The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal. Platform: |
Size: 367616 |
Author:张力 |
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Description: read meta images in matlab and use morphological filters.-read meta images in matlab and use morphological filters. Platform: |
Size: 8896512 |
Author:homan |
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Description: Brain tumors are created by abnormal and uncontrolled cell division in brain itself. If the growth becomes more than 50 , then the patient is not able to recover. So the detection of brain tumor needs to be fast and accurate. The objective of this paper is to provide an efficient algorithm for detecting the edges of brain tumor. The first step starts with the acquisition of MRI scan of brain and then digital imaging techniques are applied for getting the exact location and size of tumor. MRI images consist of gray and white matter and the region containing tumor has more intensity. So, first noise filters are used for noise removal and then enhancement techniques are applied to the given MRI scan of brain. After that the basic morphological operations are applied for extracting the region suffering from tumor. And then verification of region detected is done by using watershed segmentation. Platform: |
Size: 273408 |
Author:manoj |
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Description: 图像增强算法麦科伊增强图像的对比度，上软件吗直接运行-Three different filters are applied to a different fundus image: (a)
the original image (b) edge detection by using Sobel operator (c) edge
detection by using morphological edge detector and (d) detection of
blood vessels by using the proposed 2-D matched filter Platform: |
Size: 5407744 |
Author:杨涛 |
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Search - Morphological Filters