知识与财富的链接
以GrabCut算法为基础,引入多尺度分析方法,以塔式分解的多尺度图像序列代替固定尺度的原始图像序列估计GMM参数,将粗糙尺度的易分割性与精细尺度的精确性互补,使得算法以较少样本快速确定GMM参数,分割精度不减而效率显著提高。实验表明了算法的有效可行性。
On the basis of GrabCut algorithm, combined with multiscale analysis method, estimated the GMM parameters with pyramidal decomposited multiscale serial images instead of fix scale original image. The algorithm estimated GMM parameters rapidly with less samples, obtained equivalent accurate and significantly effective result by utilizing of the complementarity between segmentation accuracy of fine scale and segmentation easiness of coarse scale. The results of experiment show that the proposed method is effective and feasible.
