Firstly , this paper expounds some basic image processing concepts that is frequently used in the visual measurement of space robot . , studies and analyzes ordinary methods about image processing , which include image pretreatment , image segmentation and edge detection 首先,闡述了空間機器人視覺測量中常用到的一些圖像處理的基本概念,研究和分析了目前較常用的圖像預(yù)處理、邊緣檢測、圖像分割等算法。
Thus the areas of the overlapping regions are compensated efficiently and the accuracy of measurement is highly improved . the volume of the bubbles can be estimated on the bubbles " area information , and a genetic algorithm ( ga ) based method is used to match and track bubbles in the image sequences , which solve tracking problem under complex conditions efficiently , such as some bubbles may have kinetic occlusion and crossover , some newly generated bubbles may entered into flow field and run away . a smooth kinetic locus is obtained by fitting the discrete centroids with a cubic spline function and at the same time the visual measurement is realized 根據(jù)氣泡在圖像平面中的面積估計氣泡的體積,并對流場中的所有氣泡采用遺傳算法進行最佳的匹配跟蹤,有效地解決了氣泡群在流場中出現(xiàn)如遮擋、交又、新它‘出現(xiàn)、逃逸等復(fù)雜情況下的準確跟蹤,并采用三次樣條插值方法對離散的質(zhì)心點軌跡進行擬合,得到氣泡在流場中平滑的運動軌跡,從而實現(xiàn)了摻氣水流特性的可視化測童。