morphologic region 中文意思是什麼

morphologic region 解釋
地貌區;地形區
  • morphologic : adj. 形態學(上)的;【語言學】詞法的,形態的。
  • region : n. 1. 地方,地域,地帶;地區;行政區,管轄區,區;左近,鄰近;(大氣、海水等的)層,界,境。2. 【解剖學;動物學】(身體的)局部,部位。3. (學問等的)范圍,領域。4. 〈罕用語〉天空。
  1. A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. after threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. at last, shadows are detected using hsv color space information and gets exact moving regions

    該方法首先利用統計的方法得到背景模型,並實時地對背景模型進行更新,以適應外界光線變化和場景本身的變化,閾值操作后,用形態學和連通域檢測的方法進行后處理,消除噪聲和背景擾動帶來的影響,最後,在hsv顏色空間下檢測出陰影,得到準確的運動對象區域。
  2. Firstly, with the application of both morphologic translation and human body feather analysis on binary graph, the human body contours are extracted by exploited moving information, producing perfect human face region segments ; secondly, in order to form an accurate border, the author presents an improved statistical color model, which has removed redundancy successfully ; finally, a high compression rate is achieved by way of combining wavelet transform and different chain codes

    首先利用運動信息分割出人體輪廓,並綜合運用人體的特徵與形態數學的方法成功地分離出人臉大致區域;然後採用基於改進統計彩色信息模型方法,精確分割出人臉區域,去掉了不相關的冗餘信息;最後提出了利用圖像小波變換結合差分鏈碼技術描述了人臉對象,並實現了高效的視頻壓縮。
  3. Using the feature : there exists distinct edge contour between the characters and the background in color image, we give a color image text extraction algorithm - tea ( text extraction algorithm ), which makes the use of cedo to process edge detection of color image, then, adopts morphologic dilation technology to form region image, and combines the area - growth algorithm to mark the candidate text blocks, finally, determinates the correct text block by analyzing the density of text block and the space frequency feature

    利用彩色圖像文本區域與背景之間存在明顯邊緣輪廓的特點,本文給出了彩色圖像文本提取演算法? tea ( textextractionalgorithm ) 。該演算法首先利用cedo進行彩色圖像邊緣檢測,然後採用形態學膨脹技術生成區域圖像,並結合區域生長演算法標記候選文本塊,最後通過分析文本塊密度和空間頻率特性來判定真正的文本塊,從而較好地完成了彩色圖像的文本提取。
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