Annular histogram method was introduced to represent heterogeneous flow features with taking concentration spatial distribution and heterogeneity information into consideration.
采用环状直方图,从浓度空间分布和信息量两个方面对流动非均匀性进行了描述。
Content based image retrieval techniques usually use the color histogram of the full image. But this method can't contain the spatial features.
基于内容的图象检索技术一般采用颜色直方图为特征,但是这种方法不能反映空间特性。
The local histogram partitioning an image into regions takes the spatial features into account, but fails to find rotated or translated images that are similar to query images.
采用图像分块的局部直方图方法考虑了颜色的位置信息,但却不具有旋转、平移不变性。
By analyzing image's spatial information and correlation between colors, a histogram-based method with hybrid measure is proposed.
本文通过分析图像的空间信息和颜色之间的相关性,提出一种基于直方图混合度量的图像检索方法。
The algorithm uses a difference image histogram of four directions to measure the influence of spatial correlation, and temporal correlation is measured by the histogram of frame difference.
该算法利用视频序列中各帧的四方向差分直方图度量隐写对空间相关性的影响,同时利用相邻帧帧间差分的直方图度量隐写对时间相关性的影响。
Spatiograms outperform the traditional color histogram, which contain color information and spatial layout of these colors for the target.
空间直方图融合了目标的颜色信息和颜色的空间分布信息,比传统的颜色直方图更具有目标鉴别能力。
To represent color feature, local color cumulative histogram is computed, we also extract the color moments of partitions to solve the problem of lacking the spatial knowledge.
对于颜色特征,计算图像颜色的局部累加直方图,同时提取分块的颜色矩弥补其不包含颜色空间分布关系的缺点。
To represent color feature, local color cumulative histogram is computed, we also extract the color moments of partitions to solve the problem of lacking the spatial knowledge.
对于颜色特征,计算图像颜色的局部累加直方图,同时提取分块的颜色矩弥补其不包含颜色空间分布关系的缺点。
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