NarrowBand_DLL

该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的(artificial selection cluster center, k-means clustering method for image segmentation, the good results)

说明：  应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。(K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.)

基于opencv的图像灰度化，将24位彩色图像重新量化为8位灰度图像(gray image)

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

说明：  通过选取初始种子点，进行图像的阈值分割，通过对比计算该点8领域灰度值是否符合阈值条件来对图像边缘进行分割(The image edge is segmented by choosing the initial seed point and comparing the gray value of the 8 domains of the point with the threshold condition.)

经典矩量法点匹配程序，重推导，注释说明详细(Classical point matching moment method procedure)

用一维小波变换进行图像去噪处理，有较低的计算复杂度，提高效率和计算速度。(Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.)