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结构光照明荧光显微镜数据稳定性检测程序 SIMcheck-dev

于 2015-07-07 发布 文件大小:229KB
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代码说明：

  结构光照明荧光显微镜数据稳定性检测程序，非常强大(Structured light illumination fluorescence microscopy data stability testing procedures, very strong)

文件列表：

SIMcheck-dev
............\.gitignore,98,2015-05-27
............\.gitmodules,108,2015-05-27
............\CHANGES.txt,3673,2015-05-27
............\LICENSE.txt,35147,2015-05-27
............\pom.xml,5925,2015-05-27
............\README.md,8144,2015-05-27
............\SIMcheck-dev
............\............\.gitignore,98,2015-05-27
............\............\.gitmodules,108,2015-05-27
............\............\CHANGES.txt,3673,2015-05-27
............\............\LICENSE.txt,35147,2015-05-27
............\............\pom.xml,5925,2015-05-27
............\............\README.md,8144,2015-05-27
............\............\SIMcheck_Manual
............\............\src
............\............\...\main
............\............\...\....\java
............\............\...\....\....\SIMcheck
............\............\...\....\....\........\Cal_PatternFocus.java,11013,2015-05-27
............\............\...\....\....\........\Cal_PhaseSteps.java,30696,2015-05-27
............\............\...\....\....\........\DFT1D.java,5713,2015-05-27
............\............\...\....\....\........\Executable.java,1094,2015-05-27
............\............\...\....\....\........\FFT2D.java,16967,2015-05-27
............\............\...\....\....\........\I1l.java,28517,2015-05-27
............\............\...\....\....\........\J.java,10672,2015-05-27
............\............\...\....\....\........\OrthoReslicer.java,9174,2015-05-27
............\............\...\....\....\........\RadialProfile.java,3965,2015-05-27
............\............\...\....\....\........\Raw_FourierProjections.java,9497,2015-05-27
............\............\...\....\....\........\Raw_IntensityProfiles.java,11931,2015-05-27
............\............\...\....\....\........\Raw_ModContrast.java,19263,2015-05-27
............\............\...\....\....\........\Raw_MotionAndIllumVar.java,15957,2015-05-27
............\............\...\....\....\........\Rec_FourierPlots.java,17441,2015-05-27
............\............\...\....\....\........\Rec_IntensityHistogram.java,11635,2015-05-27
............\............\...\....\....\........\Rec_ModContrastMap.java,19591,2015-05-27
............\............\...\....\....\........\Rec_SAMismatch.java,7580,2015-05-27
............\............\...\....\....\........\ResultSet.java,14812,2015-05-27
............\............\...\....\....\........\SIMcheck_.java,18419,2015-06-13
............\............\...\....\....\........\TestData.java,1504,2015-05-27
............\............\...\....\....\........\Util_FormatConverter.java,7015,2015-05-27
............\............\...\....\....\........\Util_RescaleTo16bit.java,5950,2015-05-27
............\............\...\....\....\........\Util_SItoPseudoWidefield.java,11103,2015-05-27
............\............\...\....\....\........\Util_StackFFT2D.java,3555,2015-05-27
............\............\...\....\resources
............\............\...\....\.........\plugins.config,1467,2015-05-27
............\............\...\....\.........\qualityLUT.txt,3482,2015-05-27
............\............\...\....\.........\SIMcheck
............\............\...\....\.........\........\MCNR.lut,768,2015-05-27
............\............\...\....\.........\........\SIMcheckFourier.lut,768,2015-05-27
............\............\...\test
............\............\...\....\java
............\............\...\....\....\SIMcheck
............\............\...\....\....\........\FFT2DTest.java,463,2015-05-27
............\............\...\....\....\........\I1lTest.java,4547,2015-05-27
............\SIMcheck_Manual
............\src
............\...\main
............\...\....\java
............\...\....\....\SIMcheck
............\...\....\....\........\Cal_PatternFocus.java,11013,2015-05-27
............\...\....\....\........\Cal_PhaseSteps.java,30696,2015-05-27
............\...\....\....\........\DFT1D.java,5713,2015-05-27
............\...\....\....\........\Executable.java,1094,2015-05-27
............\...\....\....\........\FFT2D.java,16967,2015-05-27
............\...\....\....\........\I1l.java,28517,2015-05-27
............\...\....\....\........\J.java,10672,2015-05-27
............\...\....\....\........\OrthoReslicer.java,9174,2015-05-27
............\...\....\....\........\RadialProfile.java,3965,2015-05-27
............\...\....\....\........\Raw_FourierProjections.java,9497,2015-05-27
............\...\....\....\........\Raw_IntensityProfiles.java,11931,2015-05-27
............\...\....\....\........\Raw_ModContrast.java,19263,2015-05-27
............\...\....\....\........\Raw_MotionAndIllumVar.java,15957,2015-05-27
............\...\....\....\........\Rec_FourierPlots.java,17441,2015-05-27
............\...\....\....\........\Rec_IntensityHistogram.java,11635,2015-05-27
............\...\....\....\........\Rec_ModContrastMap.java,19591,2015-05-27
............\...\....\....\........\Rec_SAMismatch.java,7580,2015-05-27
............\...\....\....\........\ResultSet.java,14812,2015-05-27
............\...\....\....\........\SIMcheck_.java,18005,2015-05-27
............\...\....\....\........\TestData.java,1504,2015-05-27
............\...\....\....\........\Util_FormatConverter.java,7015,2015-05-27
............\...\....\....\........\Util_RescaleTo16bit.java,5950,2015-05-27
............\...\....\....\........\Util_SItoPseudoWidefield.java,11103,2015-05-27
............\...\....\....\........\Util_StackFFT2D.java,3555,2015-05-27
............\...\....\resources
............\...\....\.........\plugins.config,1467,2015-05-27
............\...\....\.........\qualityLUT.txt,3482,2015-05-27
............\...\....\.........\SIMcheck
............\...\....\.........\........\MCNR.lut,768,2015-05-27
............\...\....\.........\........\SIMcheckFourier.lut,768,2015-05-27
............\...\test
............\...\....\java
............\...\....\....\SIMcheck
............\...\....\....\........\FFT2DTest.java,463,2015-05-27
............\...\....\....\........\I1lTest.java,4547,2015-05-27

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  • EXP
    说明：  注：运行前自己准备图像，修改I = imread('')单引号中的路径 1. 给一张灰度图添分别添加高斯噪声和椒盐噪声。然后分别进行均值滤波和中值滤波，并把处理后的图片保存。 2. 图像频域处理，对图像进行傅里叶变换，进行高通滤波，显示处理结果。 3. 图像平移和旋转 4. 分别用OSTU阈值法和全局阈值法分割图像，然后进行腐蚀和膨胀处理，显示处理结果。(Note: Prepare the image by yourself before running, modify the path in single quotes of I = imread('')1. Add Gaussian noise and salt and pepper noise to a grayscale image. Then perform mean filtering and median filtering respectively, and save the processed pictures.2. Image frequency domain processing, Fourier transform of the image, high-pass filter, and display the processing result.3. Image translation and rotation4. Separate the image with OSTU threshold method and global threshold method, and then perform corrosion and dilation processing, and display the processing results.)
    2020-08-15 08:49:44下载
    积分：1
  • SAR image
    国防科技大学博士周晓光论文-极化SAR图像分类方法研究(Research on polarization SAR image classification method by Dr. Zhou Xiaoguang of National University of Defense Technology)
    2018-06-05 23:38:47下载
    积分：1
  • 20061014182431864
    分割视图 希望大家多多批评指正 多多交流(segmentation View I hope Members can interact more criticism correction)
    2006-12-27 00:32:21下载
    积分：1
  • Watershed
    说明：  对图像进行标记分水岭算法分割，有效的避免过分割(Marked watershed algorithm on the image segmentation, effectively avoid over-segmentation)
    2010-04-15 19:05:42下载
    积分：1
  • wtmk
    说明：  通过生成秘钥得到一串具有一定长度的扩频码，将原始消息序列以扩频码的长度过采样产生过采样消息序列，并将扩频码以原始消息序列的长度多次重复成伪随机序列，再令过采样消息序列与伪随机序列异或就可以生成扩频消息序列。在频率域下，将扩频消息序列以一定的嵌入强度自适应地嵌入原始图像，得到的图像具有较强的鲁棒性，比起直接嵌入，扩频水印在受到攻击后恢复出的水印信息误码率要低得多。并且扩频码长度越长，容错率就越高，鲁棒性就越好。(A sequence of spread spectrum codes with a certain length is obtained by generating a secret key. The oversampling message sequence is generated by oversampling the original message sequence with the length of the spread spectrum code, and the spread spectrum code is repeated into a pseudo-random sequence with the length of the original message sequence for many times, and then the spread spectrum message sequence can be generated by making the difference between the oversampling message sequence and the pseudo-random sequence. In the frequency domain, the spread spectrum message sequence is adaptively embedded into the original image with a certain embedding strength, and the resulting image has strong robustness. Compared with direct embedding, the error rate of the watermark information recovered from the attack of spread spectrum watermark is much lower. And the longer the spreading code length, the higher the fault tolerance rate and the better the robustness.)
    2020-09-03 17:58:08下载
    积分：1
  • a
    说明：  ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)
    2011-06-02 17:14:26下载
    积分：1
  • DigitalImageProccessexperiment
    Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等(Several digital image processing experiments, including gray transform, histogram equalization, histogram matching, neighborhood average, local increase, median filtering and image sharpening, etc.)
    2021-02-01 10:10:02下载
    积分：1
  • IPLib
    多光谱图像出理，离散傅立叶变换，低通滤波，TM条带影像去除(multispectral image integration of remote sensing)
    2012-06-20 13:49:54下载
    积分：1
  • NamespaceSupport2
    Encapsulate Namespace tracking logic for use by SAX drivers.
    2014-01-22 10:59:57下载
    积分：1
  • NonLocalMeansFiltering
    此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)
    2020-12-04 17:19:25下载
    积分：1
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