资源列表
Matlab_source_for_edge_detector_using_quaternion_c
- "基于四元数卷积的彩色图像边缘检测"一文的matlab源代码，很有帮助-matlab source code of "Colour image edge detector based on quaternion convolution" Electronics Letters, 34(10), May 14 1998, 969-971
FaceDetectorOtherversion
- 采用adaboost算法用于人脸检测，实现较快的人脸识别。使用MATLAB语言编写。-Using adaboost face detection algorithm is used to achieve a faster face recognition. Using the MATLAB language.
CT256
- 该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。-The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.
face_detect
- 基于肤色的人脸检测matlab程序，已经过调试，实现了人脸的检测，且检测准确率高-Face detection based on skin color matlab program, has been commissioning to achieve a human face detection, and the high rate of detection accuracy
plate_openCV
- 使用opencv和c++实现的车牌识别系统-Opencv implemented using license plate recognition system
pso
- 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
ICA
- 基于最大信噪比的ICA算法，在盲信号分离中用处比较大-ICA algorithm based on maximum signal to noise ratio, useful in blind signal separation in the larger
TemplatePinJie
- 模板匹配法进行图像的拼接，需要人工干预。能处理旋转情况。-Template matching method for image mosaic, requires manual intervention. Able to handle the situation spin.
main
- 基于分水岭自动选取种子的区域生长来进行彩色图像分割-Automatically selected based on the watershed to the seed region growing for color image segmentation
imageprocess
- 用MATLAB写的图像处理，包括绘制直方图，灰度拉伸，图像均衡化及频域平滑滤波代码，简洁实用，注释清晰-Written using MATLAB image processing, including the plot histogram, gray stretch, image equalization and frequency domain filtering code, simple and practical, clear notes
plslda
- 偏最小二乘线性判别分析， 以及变量选择方法-partial least squares-linear discriminant analysis
imagesegmentation
- 压缩文件里有四种图像分割的算法源代码，即阈值法、区域增长法、分裂合并法和K均值法。图片可用于检验。-The rar folder includes four source code of image segmentation,ie.thresholding, region growing, splitting and merging, kmeans. The images are able to be used for evaluation and verification.