591.txt

来自「This complete matlab for neural network」· 文本 代码 · 共 39 行

发信人: leasky (不再犹豫), 信区: DataMining
标  题: Re: 请问Gabor
发信站: 南京大学小百合站 (Sun Aug 11 11:07:04 2002)

谢谢
【 在 GzLi 的大作中提到: 】
: gabor feature:
: http://ams.egeo.sai.jrc.it/eurostat/Lot16-SUPCOM95/node17.html
: The statistical features mainly give information on intensity variations 
: of pixels, whereas texture features based on SGLD matrices characterise sp..
:  geometrical regularities of pixels within a certain neighbourhood. A third

:  important consideration in the selection of the basic features is related

:  to the compactness of signal representation. In many cases, as in land co..
: /land use classification task, the images are generally highly constrained

: , i.e., self-correlated. The high degree of self-correlation in images ari..
:  from the fact that the objects to be classified tend to have morphological

:  consistency, including first order correlations (i.e., locally similar lu..
: ance
:  values), second order correlations (i.e., edge continuations), as well as

:  higher order correlations (i.e, homogeneous textures). To capture this co..
: lation
:  the distribution of the features should also be constrained, so that few
:  of the features are strongly present in the signal representation. This 
: motivates the use of Gabor filters (or functions) [25], which can provide
:  a compact representation for real signals [12]. 

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