搜索资源列表
IMAGEANNOTATIONBASED-ONENSEMBLE
- 基于底层特征的图像内容和人为理解的图像语义之间存在“语义鸿沟"的现象，而基于图像底层视觉特征的图像自动标注技术，能够实现从图像的底层特征中提取出高级语义信息的关键字来标注图像，能很好的解决这一难题-Based on the underlying features of image content and image semantic understanding of human existence between the " semantic gap" phenomenon,
Thereseachofimage
- 图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。-Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship be
imageannotation
- 基于图像显著区域的自动标注方法的准确率与整体考虑整幅图像特征相比有很大提高，表明提出的算法优于传统方法。-a novel algorithm based on image saliency is demonstrates the proposed approach is promising．
picture
- 根据相关系数进行图像模板的匹配 并标注目标在源图像的位置-According to the correlation coefficient of image template matching and annotations
classification_nips2011
- 图像处理，运用CRF算法进行图像分割标注-Image processing, image segmentation algorithm using CRF annotation
cv
- 使用opencv的函数，寻找图像中的连通域，并标注，计算最大的连通域，显示-Using opencv function to find images connected domain, and marked, calculate the maximum connected domain, display
biaozhu
- 一个标注83个点的基于gdi图像编程的人脸标注软件-A marked 83 points gdi-based image annotation software programming Face
dingwei
- 在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》-The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binariz
Video-Demo
- 能够实现视频内人物图像的识别，并且可以标注出人员所在位置-Character recognition can be achieved within the video image, and you can mark the location of the personnel
Chain-code-invmoments-bwlabel
- 基于MATLAB的图像处理有关：链码 编码 不变矩 标注等代码-The image processing chain code invariant annotation
ReadXml
- 可以将著名的ImageNet数据集中的图片，根据其XML标注文件的标注，剪裁出图像中的目标，按标注类别进行分类。可以修改验证集图片的分类方式等。-Images can be famous ImageNet data set, according to its XML tagging file annotation, cut out the image of the target, according to the categories are classified.Can modify the
fengshui
- 图像中对前景对象和背景对象进行标注区别，再应用分水岭算法会取得较好的分割效果。-The image on the foreground object and the background objects marked difference, then apply the watershed algorithm to achieve better segmentation results.
RoughSet
- 基于粗糙集的属性约简，图像自动语义自动标注。-Attribute Reduction Based on Rough Set，Automatic image semantic annotation
rough-set
- 基于粗糙集的图像语义自动标注分类算法代码-Image semantic auto-tagging based on rough set classification algorithm code
PcbDetect
- 基于图像分析的PCB缺陷检测算,采用Visual C++ 6.0进行编程，实现了精确定位、快速准确检测缺陷并标注缺陷及缺陷分类等功能. -Image analysis based PCB defect detection operator, using Visual C++ 6.0 programming, to achieve precise positioning, rapid and accurate detection of defects and marked defects an
FRUIT-RECOGINION
- 草莓识别，在一张图像上标注所有的水果，可运行。-Strawberry identification, labeling all the fruit on a picture, you can run.
fengzhi
- 本代码可以取出彩色图像颜色直方图的峰值并在图上标注出取到峰值的点-Remove the wave function of the peak and marked on the map
meanshift
- 利用OPENCV提取图像的轮廓，需找面积最大的连通图像，最后用曲线标注-Using OPENCV to extract the outline of the image, to find the area of the largest connected image, finally uses the curve labeled
targetCapture
- 根据给出标注的xml文件，将目标从图像中抠出并保存-From the ground truth(.xml), crop the target a picture.
connected
- 求出图像联通区域，并标注出来，可以求出最大联通区域-Unicom obtained image area, and marked out, you can find the maximum area Unicom