segmentation n. 1.分割;切斷。 2.【生物學(xué)】(細(xì)胞)分裂;(動(dòng)物)分節(jié);斷裂。
texture n. 1.(織物的)組織,結(jié)構(gòu),質(zhì)地,織法。 2.織品,織物。 3.(皮膚的)肌理;(巖石、木材等的)紋理。 4.【生物學(xué)】組織。 5.(文藝作品等的)結(jié)構(gòu),組織。 6.氣質(zhì),性格,本質(zhì),實(shí)質(zhì),特征。 cloth of (a) coarse [(an) open] texture 粗紋織物。 cloth of (with) (a) close texture 密紋織物。 the texture of the culture of the Tang Dynasty 唐代文化的特征。 vt. 使具有某種結(jié)構(gòu)或特征。 adj. -less 無(wú)明顯結(jié)構(gòu)的,無(wú)定形的。
Texture segmentation with wavelet transform and feature weighting 利用小波變換和特征加權(quán)進(jìn)行紋理分割
( 6 ) we have studied the methods of image texture segmentation systematically 6 、基于遙感圖像紋理分割方法的研究。
Texture segmentation of multispectral remote sensing image based on markov random field 基于馬爾柯夫隨機(jī)場(chǎng)的多波段遙感影像紋理分割研究
Using those features , texture segmentation algorithms are presented and tested on natural images 最后,我們?cè)谏鲜龌A(chǔ)上給出了相應(yīng)的紋理圖像分割算法。
The texture segmentation method which based on the self - adapted texture windows selected is proposed 提出了通過(guò)不同的紋理窗口的選擇來(lái)自適應(yīng)的完成紋理的分割。
The arithmetic that aims at the problems of texture segmentation is improved and the experiments have been done 針對(duì)紋理分割過(guò)程中存在的一些問(wèn)題,對(duì)算法進(jìn)行了改進(jìn),并進(jìn)行了仿真實(shí)驗(yàn)。
Finding more useful texture segmentation methods and the research about the parallel image processing are regarded as a solution to the problem 引入有針對(duì)性的分割方法,與進(jìn)行并行處理為這個(gè)問(wèn)題的解決提供了一條有效的途徑。
As an important aspect of digital image process and pattern recognition , texture segmentation has always been one of the hottest and most difficult study topics 紋理分割是圖像處理和模式識(shí)別中一個(gè)重要的研究?jī)?nèi)容,一直以來(lái)是人們研究的熱點(diǎn)。
Texture segmentation is an important and difficult problem in the texture analysis ; texture feature extraction and classification are crucial in the texture segmentation 紋理分析中一類(lèi)重要且難度較大的問(wèn)題是紋理分割,紋理特征的提取和特征的分類(lèi)是紋理分割的關(guān)鍵。
We discussed the techniques of image texture segmentation in details , and compared the differences . finally , we pointed out the main problems in existing methods 對(duì)遙感圖像的紋理分割技術(shù)進(jìn)行了詳細(xì)討論,然后對(duì)常用的紋理分割方法進(jìn)行了分析比較,并提出了現(xiàn)有方法存在的主要問(wèn)題。