recall_precision

给予分水岭的图像分割，包括源代码、测试图、实验报告(Given watershed image segmentation, including source code, test plans, test reports)

这是完整的一套人脸表情识别,从样本训练到目标的识别.采用PCA来提取特征(This is the complete set of Facial Expression Recognition from the sample to the target identification training. Using PCA to extract the characteristics of)

图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；最后利用训练得 到的字典实现对破损图像的修复。相比于传统的图像修复方法，该方法具有适应性强、修复效果好等优点(Image inpainting is to fill the missing data in corrupted images and thus to reduce the information loss of damaged image. Traditional inpainting algorithms are dependent on specific structure of target images compressive sensing theory makes is possible to realized image inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD and MCA algorithm, which first decomposes the image into texture part and structure part, and then trains the two dictionaries for these two parts with KSVD and reconstructs the original image with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better adaptability and performance as compared with traditional algorithms.)

简单实现通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数(Simple realization of a universal binary morphological operations (erosion and expansion of open and close, and hit-miss transform) function)

运用边缘检测算子，采用不同结构元素并结合形态学对边缘图像进行边缘检测。(Using edge detection operator, and combine elements of different morphological structures on the edge of the image edge detection.)

可以计算图像的信噪比，适合初学者使用，采用matlab编写(Can calculate the signal to noise ratio images, suitable for beginners to use, using matlab)

单相并网光伏逆变系统仿真，带最大功率点跟踪(PV system is connected to grid through single phase inverter)

(l)小波分析理论在变形监测数据处理研究中的理论意义和实用价值 (2)小波阂值去噪和多分辨分析在变形监测信号分析中的应用 (3)在算法和图像处理方面的优越性 ((L) wavelet analysis theory in the study of deformation monitoring data processing theoretical significance and practical value (2) wavelet thresholding denoising and multi-resolution analysis in deformation monitoring signal analysis application (3) in the algorithm and image processing superiority )

k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利(k-means clustering method for a variety of image clustering, segmentation)

利用霍夫变换进行直线检测的算法实现 设置不同的阈值来控制直线的输出(detect lines in image)