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基于matlab的分水岭算法在处理粘连细胞图像分割的应用(watershed for digital image prosessing )

Gaussian Kernel Density Estimation with Bounded Support

说明：  首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)

图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来看看(Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see)

采用Harris原理提取角点，并将角点坐标写入txt文档以便后续处理，附处理前后图片(Principle extracted using Harris corner, corner point coordinates and write txt document for subsequent processing, with before and after pictures)

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

计算BBO晶体一类匹配时随非共线角变化的相位匹配角(Calculating the phase matching angle of BBO crystal with non-collinear angle)

C#处理数字图像集锦，有图像旋转、平移等变换，有图像编码，有图像解码，有数字图像处理那本书里的各种算法(C# processing the digital image gallery, image rotation, translation, transformation, and image coding, image decoding, digital image processing various algorithms in the book)

对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)