资源列表
IICandIID_R_nmp
- 对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果-corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection
IICandIID_eigenvalue_nmp
- 对角点响应函数进行非极大值抑制的角点检测，同时使用了阈值算法，改进效果-corner detection by non-maxima suppression of corner response function and using a threshold algorithm to improve results
IIB_corner-response-function
- 学习harris corner ditection，计算corner response function，容易上手入门-Learn harris corner ditection, calculate corner response function, easy to use
augmented-Lagrangian-
- 利用增广拉格朗日的方法，对图像进行去噪，包含各种去噪、去模糊以及Inpainting方法，改进的算法能够快速、有效的处理图像-Using the augmented Lagrangian method for image denoising, contains a variety of de-noising, go fuzzy and Inpainting method, the improved algorithm can quickly and effectively deal with i
ID_nmp
- 基于梯度计算的图像边缘检测程序，使用了非极大值抑制和阈值设定-edge detection procedures based on the gradient , using non-maximal suppression and threshold
IC_gradient_magnitude
- 输入一幅图像，进行高斯光滑，使用索贝尔算子计算图像梯度，然后求出梯度幅值和方向-Enter an image, using Gaussian smoothing, ,using Sobel operator to calculate the image gradient, and then find the gradient magnitude and direction
FCM
- 基于FCM的图像分割算法,主要是针对水下声呐图像的分割处理。-The image segmentation algorithm based on FCM
FLD_based-Face-Recognition-System_v2
- 一个基于FLD的人脸识别的源码，很经典。-FLD-based face recognition source code, very classic.
Privacy-enabled-objection-
- 基于压缩传感技术在视频序列中追踪隐私目标，达到保护隐私的目的-Based on compressed sensing technology in a video sequence tracking privacy goals, achieve the purpose of protecting privacy
KirschCpp
- Kirsch算子的c++实现，梯度算子，比sobel的增强效果更明显-Kirsch operator c++ achieve gradient operator, sobel enhancement effect than the more obvious
23110229_trans
- 计算机图形学的旋转、错切等变换的源码以及解释文档-Computer graphics, rotation, shear, etc. transform source code and an explanation of the document
Cohen_A_New_Color_Balancing_Method2
- 一种新的自动白平衡算法：找灰点的自动白平衡；分别于传统的算法做了比较；-A Color Balancing Algorithm for Cameras We compare our method against six known fast color balancing algorithms on the database. Our experiments show that the proposed method outperforms these algorithms, w