搜索资源列表
Image-Co-Occurrence-Histograms
- 图像的共生矩阵，特征提取，图像的显著性，视觉注意- image feature extraction
Superpixel-saliency
- 基于区域的超像素显著性检测，一篇关于基于超像素的显著性图像分析的文章，将超像素很好的应用于图像分割中。c++代码实现-Significant super pixels detection based on region, the significance of an article about, based on very pixel image analysis, super good pixels was applied to image segmentation.C++ code
saliency
- 图形图像处理，包含10篇文章，显著性特征文章大集合。-Graphics, image processing, a large collection of distinctive character articles.
bayes
- 基于贝叶斯的显著目标检测代码。内附图像数据。-Bayesian significant target detection code. With the image data.
STRUCK-master
- 图像处理中，著名的struck算法，用于跟踪识别，效果显著-famous struck algorithm for tracking and recognization, and it proforms well
Imagedetection
- 用MATLAB实现对图像中出现的显著点进行检查-MATLAB implementation of the image in the emergence of a significant point for inspection
saliency
- 图像的显著性检测，phthon版 实现, qing can kao-Image saliency detection, phthon edition realize
Cosaliency_tip2013-master
- 图像协同显著性检测，用于寻找突出目标，以便于进一步分割或者检索等。-cosaliency detection for image to search for salient object in order to segment or retrieve images.
image-compress
- 图像压缩算法的应用，算法简洁，效果显著供大家参考。-Implementation for image compression.
ROI
- 基于matlab环境的对图像的感兴趣区域提取得到的显著图。使用的是高斯方法。-ROI based on matlab
2015CVPR_Cellular-Automata
- 显著性检测，能够清晰的分离目标和背景，对于图像处理很很大帮助-Significant test, can clear separation of target and background, is of great help for image processing
CmCode-master
- 根据图像的全局对比度进行视觉的显著性区域检测，该算法较经典算法更快更准确。-According significant global contrast of the image area is detected visually, the algorithm faster and more accurate than the classical algorithm.
LSB
- LSB（Least Significant Bit）算法是将秘密信息嵌入到载体图像像素值的最低有效位，也称最不显著位，改变这一位置对载体图像的品质影响最小。-LSB (further Significant Bit) algorithm is to embed the secret information carrier image pixel values of the Least Significant Bit, also known as the Least Signi
gbvs
- Gbvs图像的显著度检测算法，用Matlab编程的，非常实用的算法适合图像处理入门学习-graph-based visual saliency
sigsaliency
- 显著度的检测，包括图像的平滑操作，图像分割重组等检测操作-graph-based visual saliency
myedgedetec1
- 图像的连通区域标记，会将面积较大的两个连通区域标记，在检测肾脏感兴趣区时效果显著。-Connected region labeled image will be larger two connected component labeling, in the detection of renal ROIs effect is remarkable.
LabelMeToolbox-master
- c此代码实现显著性检测，很好的实现，对学习显著性监测的图像帮助很大-This code implements significant testing, well implemented, significant learning of great help monitor image
image-saliency--feature-detection
- 基于图像特征的图像的彩色显著性检测，通过图像的特征获得显著特征，进而得到显著图像- Color Saliency in Image Feature Detection，we get saliency map by features map.
NIPS
- 对图像进行ICL显著性检测后得到显著性图，充分将图像里的显著部分提取出来，利于人眼观测识别-ICL was obtained after the detection of image saliency map, will be full of a significant portion of image in the extract, conducive to the human eye observation and identification
LBP
- LBP（Local Binary Pattern，局部二值模式）是一种用来描述图像局部纹理特征的算子；它具有旋转不变性和灰度不变性等显著的优点。它是首先由T. Ojala, M.Pietikä inen, 和 D. Harwood 在1994年提出，用于纹理特征提取。而且，提取的特征是图像的局部的纹理特征；-LBP (Local Binary Pattern, local binary pattern) is an image used to describe the local te