搜索资源列表
opcimizeddead
- 图像预处理中一个典型的中值滤波程序,可显著提高图像质量-A typical median filter in image preprocessing procedure, can significantly improve the quality of the image
Canny-edge-detection
- canny边缘检测,边缘检测的目的是在保留原有图像属性的情况下,显著减少图像的数据规模。目前有多种算法可以进行边缘检测,虽然Canny算法年代久远,但可以说它是边缘检测的一种标准算法,而且仍在研究中广泛使用。-Canny edge detection,The purpose of edge detection is to significantly reduce the size of the image by preserving the original image attributes.
PSO-image-segment
- 混沌粒子群算法用于图像分割,程序已调试好,并用多种图像提供使用。分割效果显著。-Chaotic particle swarm optimization algorithm for image segmentation, the program has been debugged, and use a variety of images available. Segmentation effect is remarkable.
1 IT and GB
- ITTI,GBVS算法,实现对图像的显著性检测(ITTI, GBVS algorithm, to achieve significant image detection)
saliency
- sr显著性检测算法,经典的频谱残差算法,输入图像可直接运行,运行结果为显著图(SR saliency detection)
pca_imagefusion
- 基于pca权值的图像融合算法,在 遥感图像融合领域中作用显著(The image fusion algorithm based on PCA plays an important role in the field of remote sensing image fusion)
滤波
- 一种可以滤除一些有震荡以及波动图像的波纹,效果显著(One can filter out some of the ripple and fluctuations in the image of the ripple, the effect is significant)
SalientRegionDetector
- 通过将图像的RGB空间向LAB空间转换并进行优化,最终可以实现图像的显著性检测(By converting the RGB space of the image to LAB space and optimizing it, finally the saliency detection of the image can be achieved.)
fig6 image contour detection
- AC算法,显著性实现,目标检测算法,图像处理,抠图(The AC algorithm was realized, the target detection algorithm, image processing, image matting)
LBP
- LBP指局部二值模式,英文全称:Local Binary Pattern,是一种用来描述图像局部特征的算子,LBP特征具有灰度不变性和旋转不变性等显著优点。(LBP refers to the local binary pattern, is an operator used to describe the local features of the image, LBP features with gray scale invariance and rotation invariance a
LBP
- LBP(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.Pietik?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;(Local Binary Pattern describe the image local texture, invariant with the change of rotation and gray)
3DSaliency
- 一种立体图像的显着性检测方法。一种新的融合方法来组合特征显著图以获得立体图像的最终显着图。(we propose a novel stereoscopic saliency detection framework based on the feature contrast of color, luminance, texture, and depth.)
main
- 该程序完成了图像视觉显著的itti算法在c++语言的实现(The program completes the ITTI algorithm of image and visual, and realizes in c++ language.)
新建文件夹
- 基于显著性的图像高光检测,运用HSI的算法进行的(saliency detection,Image highlight detection based on saliency, using HSI algorithm.)
co_saliency_co_segmentation
- 这是这篇文章的代码 “范满梦,洪亮丽,广慧柳,King Ngi Ngan,“基于最短路径算法和显著性模型对象分割,”IEEE多媒体,卷,5号,页1429 - 1441, 2012。” 我们的目标是段常见物体从一组图像中使用的最短路径算法。 这是一个初步的版本,所以如果你发现一个bug,联系洪亮丽 hlli@uestc.edu.cn。 %参考 如果使用此代码,请参阅: “范满梦,洪亮丽,广慧柳,King Ngi Ngan,“基于最短路径算法和显著性模型对象分割,”IEEE多媒体,
Saliency Detection
- 本算法实现了一个图像视觉显著性的简单计算模型。 算法论文:Saliency Detection A Spectral Residual Approach
SR
- 经典sr算法,基于谱残差原理对图像进行频谱分析筛取显著性信息(Classical SR algorithm)