该书目介绍了水中目标辐射噪声的听觉特征提取，可用于海洋遥感的应用

pca人脸识别matlab源码,其中提供了详细的步骤说明-PCA face recognition matlab source code, which provides a detailed description of the steps

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip

通过采样比较对人的鼻子进行识别，C++源代码-Through the sample compared to the human nose to identify, C++ Source code

该文件是图像处理中的各项基本技术的C实现，对图像处理初学者有着很大的使用价值-The document image processing is the basic technology C realize the image processing has great value for beginners

信号处理的小波导引书的matlab代码,Wavelab802工具箱,进行小波在信号处理中的各种应用-Wavelet Tour of signal processing matlab code book, Wavelab802 toolbox, wavelet signal processing in a wide range of applications

第二章 MATLAB 图形绘制基础 2.1 二维绘图 2.1.1 基本绘图函数 2.1.2 图形窗口的修饰 2.2 三维绘图 2.2.1 plot3 函数 2.2.2 三维网格图和曲面图-MATLAB chapter 2.1 Rendering the basis of two-dimensional mapping function 2.1.2 graphics 2.1.1 basic graphics window 2.2 modified three-dimensional mapping function 2.2.1 plot3 Figure 2.2.2 Three-dimensional grid and surface map

图像降噪 对图像中的加性噪声能够自适应滤除-Image denoising the image of the additive noise can be self-adaptive filtered。

基于小波的ICA-R算法，适合混合图像的分离。具有速度快等优势。-Wavelet-based ICA-R algorithm, suitable for the separation of mixed images. With a speed advantage.

国外姿势识别的经典源码，好东西大家一定要珍惜-Gesture recognition abroad classic source, good things everyone must cherish

探讨了像素级多传感器图像融合的研究意义和应用，对像素级多传感器图像融合，方法进行了分析比较，并对其发展方向进行了展望-Of pixel-level multi-sensor image fusion study of the meaning and application of pixel-level multi-sensor image fusion, and methods are analyzed and compared, and the direction of their development prospects