nsct

圆心检测算法，使用matlab根据sci文章仿写，在图像质量不高的情况下检测效率较高。(Center of a circle detection algorithm, the use of matlab under the sci article仿写, image quality is not high in the case of a higher detection efficiency.)

说明：  fast与sift算法结合，实现特征匹配，可以参考；fast与sift算法结合，实现特征匹配，可以参考(The combination of fast and sift algorithm can achieve feature matching, which can be referred to; the combination of fast and sift algorithm can achieve feature matching, which can be referred to)

对于低水平的视觉情况下，加权核规范最小化算法及其应用。(Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision)

十分有用的 图像pocs算法，内有图片说明及示例(A very useful POCS algorithm for images, with illustrations and examples)

image processing with opencv

图像视差获取，效果还不错,可用于三维重建、等领域。(Parallax image acquisition, the results were good, can be used for three-dimensional reconstruction, and other fields.)

说明：  图像经透镜的相位因子变换后在透镜后的光场分布(The distribution of light field after lens's phase factor transformation after lens.)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

说明：  这是一个包括bmp文件显示，图像二值化，细线化等集合的程序，可在tc中运行。 程序中有40 +的注释，你能很快的看懂程序(This is a bmp file, including display, image binarization, thinning and other collection procedures, can be run in the tc. 40 + program notes, you can quickly understand procedures)

beta过程+稀疏表示，做单帧超分辨率重建(single imagle super-resolution by beta process)