英语翻译Let image pixel points be m×n,location features(X,Y) of
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英语翻译
Let image pixel points be m×n,
location features(X,Y) of pixel point(x,y) can be
denoted as Eq.(2).
X=wxy*(x/max(m,n)),Y=wxy*(y/max(m,n)) (2)
Where,max(.) is the maximum,wxy is generally in
(0,1),and can be treated as the weight of space location
features,wxy=1 in this paper.
(2) Texture features extraction
Texture has local neighborhood property.The
selection of scale directly impacts the precision of
texture representation.In this paper,texture features
include contrast,polarity,anisotropy[4].According to
the component L in L*a*b color space and the analysis
of polarity feature using different scale parameters of
Gauss function,we can get the optimal scale
parameters,then,calculate contrast and anisotropy.
The process is as Figure 1.
Let image pixel points be m×n,
location features(X,Y) of pixel point(x,y) can be
denoted as Eq.(2).
X=wxy*(x/max(m,n)),Y=wxy*(y/max(m,n)) (2)
Where,max(.) is the maximum,wxy is generally in
(0,1),and can be treated as the weight of space location
features,wxy=1 in this paper.
(2) Texture features extraction
Texture has local neighborhood property.The
selection of scale directly impacts the precision of
texture representation.In this paper,texture features
include contrast,polarity,anisotropy[4].According to
the component L in L*a*b color space and the analysis
of polarity feature using different scale parameters of
Gauss function,we can get the optimal scale
parameters,then,calculate contrast and anisotropy.
The process is as Figure 1.
让图片的象素点为m x n,
定位要素 (X,Y) 的象素点(x,y) 可以表示为 Eq.(2).
X=wxy*(x/max(m,n)),Y=wxy*(y/max(m,n))
在这里max(.) 指的是最大值,wxy通常在(0,1),也可以说是这张纸里的空间的重量地点,wxy=1.
(2)
提取纹理特征
纹理有着某个地方的性质或特点,尺寸的选择直接的影响到了纹理的精确度.在此,纹理特征包括了对比,两极对立,各向异性.根据L元素在L * a * b颜色的空间和分析,使用不同尺度的极性特征作为高斯函数参数,我们就可以得到理想的参数尺寸.然后,计算对比和各向异性,过程如图一.
怎么样,可以吗?
定位要素 (X,Y) 的象素点(x,y) 可以表示为 Eq.(2).
X=wxy*(x/max(m,n)),Y=wxy*(y/max(m,n))
在这里max(.) 指的是最大值,wxy通常在(0,1),也可以说是这张纸里的空间的重量地点,wxy=1.
(2)
提取纹理特征
纹理有着某个地方的性质或特点,尺寸的选择直接的影响到了纹理的精确度.在此,纹理特征包括了对比,两极对立,各向异性.根据L元素在L * a * b颜色的空间和分析,使用不同尺度的极性特征作为高斯函数参数,我们就可以得到理想的参数尺寸.然后,计算对比和各向异性,过程如图一.
怎么样,可以吗?
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