鄰位引位基 的英文怎麼說
中文拼音 [līnwèiyǐnwèijī]
鄰位引位基
英文
ortho-directing group-
The high similarity in shapes and large overlapping areas of corresponded contours on adjacent cross - sectional are main conditions in reconstructing surface correctly. in accordance with the disadvantage of blurring caused by traditional gray - level interpolation methods, this dissertation introduces a method to interpolate 3d images based on point matching approach to get 3d isotropy volume data. with respect to non - similar shapes or no superposition of corresponded contours on adjacent slices and concave contours, this dissertation presents a method for shape - based interpolation based on nonuniform scale bounding box
相鄰斷層上對應輪廓區域的形狀相似和重疊部分大是保證重建表面正確性的重要條件，針對傳統灰度插值容易引起模糊邊界的缺點，本文採用基於對應點匹配的方法進行灰度插值，以獲得各向同性的三維數據；針對相鄰斷層間對應輪廓的形狀不相似，位置不重合和有凹輪廓線的情況，提出一種基於包圍盒非均勻比例放縮的形狀插值方法。Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness
在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。Dc has two attractive characteristics : ( 1 ) dc can make genes in a chromosome keep good diversity. dc overcomes the evil of traditional crossovers, which cause gas get into prematurity. ( 2 ) dc well reduces algorithms " generations by guiding them to search in global optimal ' s neighborhood space
通過對交叉運算元產生新個體的機理以及實際問題的特徵進行分析后，本文提出一種基於非等位基因交叉運算的錯位交叉運算元，該運算元的主要優點在於： （ 1 ）能夠使種群個體的基因值更加有效地保持多樣性，克服傳統交叉運算元下演算法易於陷入局部最優解的缺陷； （ 2 ）引導遺傳演算法在最優解鄰域內搜索，從而提高演算法的優化速度。Slice - imagings interpolation can creat new slices. this dissertation presents a gray - level matching interpolation method based on object gray - level distribution probability knowlege, through which we can get more clear scene at the boundary between different matters than that in traditional interpolation methods. with respect to non - similar shapes or no superposition of corresponded contours on adjacent slices and concave contours, this dissertation introduces a method based on variant shape - based interpolation
提出了一種基於對象灰度概率知識引導的對應點匹配的灰度插值演算法，解決了傳統灰度插值的不同種對象物質交界處的模糊問題；對于只關心物體邊界和重構目標形態信息的情況，介紹了當相鄰斷層上的對應輪廓線的形狀不相似，位置差異大時，利用改進的輪廓加權平均演算法進行輪廓形變插值的方法。分享友人