subimage 中文意思是什麼
subimage
解釋
子圖象-
The subimage of the lowest frequency ( ll4 ) is carried out lossless compressed coding ; 2 the subimages on diagonal direction of the highest frequency ( hhl ) is abandoned and is not carried out coding, because it is of great probability for zero, and it little affects visual
其主要包括對最低頻子帶單獨進行無損壓縮編碼，對最高頻對角線方向子帶捨去不編碼。對其餘各子帶根據視覺特點的不同，分別分配不同的比特數並按其進行零樹量化，最後再遊程編碼。 -
Furthermore, the multi - frame accumulation infrared subimage target detection model, image space transformation, segmented region recognition and infrared subimage tracking model are proposed in the dissertation
論文提出了多幀累積亞圖像目標檢測模型、圖像空間變換、分割區域的識別和亞圖像跟蹤模型。 -
In the dissertation are discussed the infrared video object recognition features, the infrared rosette scan subimage technology, the fast object recognition and tracking technology and the design - consideration of miniature system, etc. based on those, system experimenting is made and good results are shown
本文研究遠程紅外目標識別特徵，玫瑰掃描亞成像與目標檢測，快速目標識別跟蹤技術及小型化系統的研製等，並在此基礎上進行了系統實驗，取得了良好的結果。 -
In the dissertation are also studied the time - space resolution features of the rosette scan system and discussed the theoretical basis for the subimage target detection, recognition and tracking technologies
分析了玫瑰線掃描系統的時空解析度特性，為亞圖像目標檢測、識別跟蹤技術提供了理論基礎。 -
The method based on clustering analysis put the image into subimage by the quarter tree method according to the local characteristic, and in the subimage finishing clustering. based on the center of t he subimage clustering we do the clustering to get the clustering on the whole image
基於聚類分析的方法根據遙感圖象具有局部特性，將圖象以四叉樹的形式分成子區域來進行聚類分析，並以聚類作為采樣點進行全局聚類。 -
Based on the analysis of those existing generative models, this paper conducts research on the local modeling based face recognition method, and obtains the following results : ( 1 ) proposes a densely local matching ( dlm ) based face recognition method, in which by densely sampling original images we can get several sub images, which reflect features of different local regions, and obtained the final matching similarity through syncretizing the results of local subimage matching similarity
本文在分析現有的產生式方法的基礎上，對基於局部建模的人臉識別方法進行研究，取得了以下研究結果: （ 1 ）提出了一種基於稠密局部匹配（ denselylocalmatching ，簡寫為dlm ）的人臉識別方法。該方法通過對原始人臉圖像進行稠密重采樣，得到反映不同局部區域特徵的子圖像，並最終通過融合局部子圖像匹配結果來得到最終的圖像匹配相似度。
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