Description: The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet.
1. Reading an image of either gray scale or RGB image.
2. Converting the image into grayscale if the image is RGB.
3. Decomposition of images using wavelets for the level N.
4. Selecting and assigning a wavelet for compression.
5. Generating threshold coefficients using Birge-Massart strategy.
6. Performing the image compression using wavelets.
7. Computing and displaying the results such as compressed image, retained energy and Zero coefficients.
8. Decompression the image based on the wavelet decomposition structure.
9. Plotting the reconstructed image.
10. Computing and displaying the size of original image, compressed image and decompressed image. Platform: |
Size: 1024 |
Author:fer |
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Description: 实现24位RGB彩色图像,先转化为灰度图像,而后用大津法实现二值化,并显示阀值。-To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold. Platform: |
Size: 3072 |
Author:budongwei |
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Description:
肺部CT图片分割提取出肺实质:迭代法获取灰度阈值;二值化图像;分区使用纯M语言编写,各个环节都是自己编程解决,没有用Matlab内置的函数,方便改成其他语言代码。-Lung CT image segmentation to extract the lung parenchyma: iterative methods for grayscale threshold binary image partition using pure M language, are all aspects of their programming to solve, Not using Matlab built-in functions, easy to change code in other languages . Platform: |
Size: 304128 |
Author:lib |
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