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基于内容的图像检索
- 基于内容的图像检索，里面也包含了图像语义方面的内有，比如关键字的提取 特征向量的提取等待,Content-based Image Retrieval, which also contains images, there are semantic aspects, such as keyword extraction extraction eigenvector wait
BlurScore.rar
- 在进行数字图像处理时，经常碰到评价一幅图像清晰度的问题，该源代码以边缘能量为基础评价一幅图像的模糊程度。,In digital image processing, we often encounter an image sharpness evaluation of the problem, the source code to the edge of the energy-based evaluation of the fuzzy degree of an image.
PCNN.rar
- 这是一些关于PCNN进行图像分割的Matlab程序,里面包括全部人子函数.请站长开通我的帐号,我有一个重要程序要下.谢谢!,err
vc-image
- 是一个图像识别的例子,该压缩包里有非常好的图像处理代码-Is an example of image recognition, the bag has a very good compression image processing code
101259371chat
- 图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法-Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods
niuquduhexinxi
- 对图像融合结果扭曲度和信息的评价，直接反映融合图像的失真程度-The results of image fusion twist and evaluation of information, a direct reflection of the degree of integration of image distortion
DispFusion
- matlab 在图像融合中的应用时很广泛的 在融合中的评价 也是很 有用的 -matlab is a tools that can fusion the remote sensing image
compare_segmentations
- 用于评价图像分割算法性能的代码，包中的word文档对所用方法进行了简单的说明，还列出了具体的参考文献-Image segmentation algorithm for evaluating the performance of the code, including the word document on the methods for a simple explanation, but also a list of specific references
yujijinzhan
- 这是关于语义图像检索进展的一片论文，很好的综述性文章，希望研究图像语义的朋友一起学习- Semantic image retrieval has been a crux to bridge“semantic gap”between the simple visual features and the abundant semantics delivered by an image. The state of the art of semantic image retrieval is g
54564
- 在基于内容的图像检索中,图像的标注字能够缩小图像的高级语义和低级视觉内容 之间的差距,并方便检索. 但手工标注费时费力且结果具有主观不一致性,而图像的自动语义标注 能够将图像的视觉特征转化为图像的标注字信息,为用户的使用带来了极大的方便. 本文提出了一 种基于实例的图像自动语义标注方法.-In content2based image retrieval, annotations of image can not only reduce the gap between high2
invariant
- 用三种不变矩来进行图像识别处理，已经证明程序可行-Angle of moment invariants to identify the
image.quality.evaluation.based.on.human.visual.pro
- 文章中有基于人眼视觉特性的图像质量评价具体步骤，是一种符合人眼主观视觉感受的新型质量评价方法。-Articles are based on human visual properties of image quality evaluation of concrete steps to meet the human eye is a subjective visual experience of the new quality evaluation method.