搜索资源列表
cellrecognition
- 细胞识别记数系统的实现,全部源代码,包括中心点标记,区域填充,记数等-,Visual C++,图形图象/Graph program -cell identification number system in mind the realization of full source code, including the focal point mark, regional filling, and so mind-, Visual C, graphic images / Graph program
Curvemarked
- 曲线标记,设计与所画曲线中标记为圆形星形,或其他形状,方便读者识别-Curve marked
dectcet-qrs
- 心电图qrs波的识别非常重要,本代码准确定位心电图的qrs波并做好了标记-Electrocardiogram qrs wave recognition is very important, the code accurately positioning electrocardiogram qrs wave and make a mark
CRFPP-0.58
- CRF ++是一个简单的,可定制的,条件随机域(控释肥)分割/标记顺序数据的开源实现。 CRF ++是专为通用的目的,将被应用到各种各样的NLP任务,如命名实体识别,信息提取和文本组块。-CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is design
bwareaopen(noSmallStructures--150)
- 识别视频中的图像,并将目标图像进行标记,得到拷贝图像-In which the video image and the target image are marked to give a copied image
ASM_Euler-distance
- 人脸识别,采用ASM和欧氏距离的方法,训练样本和测试样本来自SCface视频人脸库。ASM的特征点通过手工标记获得,并保存为mat文件。想要训练样本的原始图像,请联系我-Face recognition, using the ASM method and Euclidean distance, the training samples and testing samples from the SCface video database. Characteristics of ASM obtain
svm-CAR-detect
- 基于matlab ui界面的人工交互的车辆识别,利用svm支持向量机对车辆进行是被标记,正负样本各300张-Vehicle identification human interaction matlab ui-based interface using svm SVM vehicles are marked, positive and negative samples each 300
xwtdhd
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
EQBNZJU
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
6227374
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
路面裂缝识别
- 基于图像的道路裂缝识别算法的研究 对于修补裂缝的检测问题,利用修补裂缝的灰度以及方差特性,将道路图像经过预处理、图像分割、修补裂缝提取等步骤,得到修补裂缝标记图像。(Design and Realization of Vehicle-mounted Pavement Crack Identification System Based on Image Processing)
基于BP神经网络的手写数字识别
- 这是一份基于BP神经网络的手写数字识别文件,包含了源代码、最优权重向量、以及带标记的训练集。代码中给出了详细的注释,对于理解神经网络的原理有很好的帮助。