资源列表
braintissue
- 对最大的连通区域依次进行膨胀，闭操作，填充空穴得到脑模板，再将原图和脑模板相乘得到脑组织图像；对距离函数取反，然后进行分水岭操作，显示每一个连通区域；对合并之后的连通区域进行闭操作去除分水线，然后将里面的空洞进行填充，再将其膨胀，减去填充后的模板便可得到各个结构的轮廓线-The maximum connected region sequentially inflated closing operation, fill the hole to give the brain a template,
geodata
- GEO data using python
Serpentine-matrix
- C++入门题目，练习C++的运用，解决蛇形矩阵的排列问题，可直接复制代码到编辑器直接运行- C++ primer topic, to practice the use of c++, solve the problem of serpentine matrix arrangement, can be run directly copying code directly to the editor
viterbi
- 基础的viterbi算法实现，java代码实现，kmeans代码实现，代码源码-Based viterbi algorithm, java code, kmeans code, the code source
automatic_method_all
- 自适应频域陷波技术的MATLAB程序，可对强干扰环境下的雷达窄带干扰进行抑制。代码完整，有详细注释。-Adaptive frequency domain notch technology of MATLAB program, can be a strong interference in the environment of radar narrowband interference suppression. Code complete, detailed notes.
xiaonao
- 阈值分割算法，t为选取的合适的阈值，img1为阈值分割后的图像；选择高、低两个阈值的分割算法，t1,t2分别为选取的两个合适的阈值（t1<t2），t1为去除背景和颅骨等的低阈值，t2为去除脂肪和肌肉等的高阈值，img1为阈值分割后的图像-Threshold segmentation algorithm, t is appropriate threshold selected, img1 image after thresholding choose high, low segmentat
epwm_timer_interrupts
- EPWM模块定时器中断模块，在软件环境中利用同步时钟进行同步。-EPWM module timer interrupt module, in the software environment using synchronous clock synchronization.
hrpwm
- 高速EPMW使用方法，并在CCS环境中应用示例，编译成功！-High-speed EPM use, and CCS environment in the application examples, the compiler was successful!
i2c_eeprom
- DSP_i2c_eeprom模块编程并在CCS环境中编译通过-The DSP i2c eeprom module is programmed and compiled in the CCS environment
MRIxiaonaonaogan
- 从脑部MRI图像中提取小脑和脑干，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Brainstem and cerebellum extracts the brain MRI images were used to k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
Jacobi
- 雅可比迭代法与矩阵的特征值 雅可比迭代法与矩阵的特征值-Jacobi Iterative Method and matrix eigenvalue
MRIzuoyounaobanqiu
- 从脑部MRI图像中提取左右脑半球，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Extracted the brain MRI image left and right brain hemispheres, respectively k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.