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1)  local accumulative histogram
局部累加直方图
2)  Local accumulation histogram
局部累积直方图
1.
Image retrieval based on local accumulation histogram and texture characterteristic
基于局部累积直方图和纹理特征的图像检索方法
2.
Local accumulation histogram divides color space into similar regions and uses accumulation histogram method in every region to acquire the color characteristic of the picture,thus making image retrieval which is based on color characteristic more rational and effective.
局部累积直方图通过对颜色空间进行相似色区间划分,在每个区间内应用累积直方图法对图像的颜色特征进行提取,使得根据颜色对图像的检索更加合理有效。
3)  cumulative histogram
累加直方图
1.
To represent color feature,local color cumulative histogram is computed.
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。
2.
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,同时为了弥补其不包含颜色空间分布关系的缺点,又提取了分块的颜色矩。
4)  local histogram
局部直方图
1.
This paper presents a new image fusion scheme based on local histogram matching filtering techniques for fusing high resolution panchromatic and multi spectral images.
本文提出了一种基于局部直方图匹配滤波技术的影像融合新方法。
2.
In order to solve these problems,the author proposes a new algorithm based on overlapping sub-block splitting which gives each block a weight value after getting its local histogram,.
为弥补这些缺点,作者提出一种新的重叠分块,获得每个分块的局部直方图后,再对每个分块赋以不同的权值的检索算法,试验证明该算法能有效的提高检索准确度。
3.
To this end, a laser radar range image suppression algorithm based on local histogram is put forward: Apply the local histogram to judge pixel anomalies and remove by optimum distance so as to achieve range anomalies suppression.
据此提出了一种基于局部直方图的激光雷达距离像距离反常的抑制算法:利用局部直方图判断当前像素是否为反常像素,将反常像素用最可几距离值代替,达到抑制距离反常的目的。
5)  Local mean histogram
局部均直直方图
6)  local histogram equalization
局部直方图均衡
1.
As the traditional algorithms for local histogram equalization is used to enhance the contrast of an image,the output brightness is always regardless of the input image.
现有的局部直方图均衡算法用于图像的对比度增强时,输出图像的亮度与输入图像无关。
2.
This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).
本文提出了基于熵最大化和亮度保持的部分重叠的局部直方图均衡方法(局部BPHEME)。
3.
A brightness preservation partially overlapped local histogram equalization algorithm which can preserve the brightness is proposed.
为了克服现有的直方图均衡算法在图像细节信息增强的同时无法保持输入图像亮度的缺点,以部分重叠局部直方图均衡算法(POSHE)为基础,将递归分解的思想引入子块图像直方图均衡过程,提出了一种亮度保持的部分重叠局部直方图均衡算法。
补充资料:直方图
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性质:是一种直观地表示数据统计分布特性的图示方法。将一组依数值大小顺序排列的测量数据,按一定组距细分为若干组,以出现在各分组的频数和频率为纵坐标,以分组的组界值为横坐标画成的矩形分布图,便是频数和频率直方图。直方图各矩形的频数之和等于测量值的总数,直方图各矩形的频率之和等于l。用直线连接频数和频率直方图各矩形上方的中点得到的曲线,相应得到频数和频率曲线。当测量值的数目足够的多,分组的组距非常小,频数和频率曲线变成平滑的曲线,所得到的平滑曲线,相应称为频数分布曲线和频率分布曲线。

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