资源列表
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
face_detection
- Matlab实现的人脸检测，速度快，效果好-matlab code for face detection
dsdf
- 使用matlab、图像的显示（灰度图像、彩色图像、动态图像）、图像格式、图像压缩和图像的基本操作（图像反转和直方图均衡）-Using matlab, image display (grayscale image, color images, dynamic images), image format, image compression and image of the basic operations (image reversed, and histogram equalization)
Pdelay_ekf_nou
- 带时延的纯方位角单站跟踪算法,它有效地解决了用EKF算法进行纯纯方位角跟踪时可能出现的不稳定和滤波发散现象和声音信号的时延问题。 -Single station with the delay of pure azimuth tracking algorithm, which effectively solve the delay problem of the innocent azimuth tracking EKF algorithm that may occur when unstabl
tuoyuantxt
- 根据外接矩形画圆，用的opengl程序画图的代码，可自行修改使用~-According circle enclosing rectangle, with the opengl drawing code program can modify to use ~
Plate_extract
- 进行车牌号码识别、文字识别等，测试效果很好-car plate extraction, OCR etc
linear_regression
- 自适应的病态非病态线性回归方程求取函数，输入数据矩阵X和显著性水平alph-Adaptive Morbid Morbid Linear regression equation strike function, the input data matrix X and the significant level of alph
Texture
- 二维图形的纹理特征提取，简单易行的图像处理，对于初学者非常实用。 -Texture feature extraction of two-dimensional graphics, simple image processing, very useful for beginners.
stft
- 里面包括短时傅里叶变换谱，倒谱平滑等，这些代码广泛用于，语音说话人识别，语音增强，雷达，声呐，图像等领域-Including short-time Fourier transform spectrum, cepstrum smooth, etc., are widely used in the code, voice speaker recognition, speech enhancement, radar, sonar, image, etc
Image-Processing3
- BMP格式图像的简单处理，主要是图像压缩，包括Huffman、RLE和LZW三种-Simple processing BMP format images, mainly image compression, including Huffman, RLE and LZW three kinds
arm
- Processing 程序，模拟机械臂运动，获得鼠标坐标，驱动Arduino，实现舵机的随动。-Processing Program, emulate the robot arm s action.
Watershed-algorithm
- 改进的分水岭分割算法，其中使用开闭运算，修改局部极大值-Improved watershed segmentation algorithm, in which opening and closing operation, modify the local maxima