关键词: 多尺度图谱, 局部谱, 干涉轮廓, 多尺度边缘概率检测算子, 谱的边缘概率检测算子, 方向分水岭算法

Abstract: When textures of object and background are more or their textures are similar, object extraction algorithm based on multi-scale spectral and local spectral can’t be very well, the main reason is that feature selection of pyramid multi-scale spectral algorithm is relatively simple when calculating the similarity measure. Aiming at drawback of this scheme, the new scheme based on improved pyramid multi-scale spectral and local spectral is proposed. The main area of improvement is weight construction method based on intervening contours. The original scheme is based on the Laplace edge map and the gradient map, while the improved scheme is based on the edge strength map which is generated by multi-scale probability of a boundary detection operator（mPb operator） and Oriented Watershed Transform algorithm（OWT）. The mPb operator can effectively solve the problem that the result of segmentation about complicated texture image is not good. Oriented watershed transform algorithm can effectively solve the poor segmentation problem when part boundary information of target and background are similar. Experimental results demonstrate that the new scheme is superior compared to the original scheme in the aspect of object extraction of effect.

Key words: multi-scale spectral, local spectral, intervening contours, multi-scale probability of a boundary detection operator, spectral probability of a boundary detection operator, oriented watershed transform algorithm