CAJ | 학술논문

针对三维Otsu图像分割算法运算量大和图像细节分割不够准确的问题，提出一种改进的三维Otsu图像分割算法。该算法基于灰度-邻域平均灰度-梯度的新的三维特征模型，构建三维直方图；将三维Otsu分解为三个一维Otsu；在同时考虑类间距离和类内距离的基础上，提出一种新的最大散度差准则。实验结果表明，该算法不仅可以取得较好的分割效果，而且计算量较小，比三维Otsu阈值分割递推算法快900倍左右。
침대삼유Otsu도상분할산법운산량대화도상세절분할불구준학적문제，제출일충개진적삼유Otsu도상분할산법。해산법기우회도-린역평균회도-제도적신적삼유특정모형，구건삼유직방도；장삼유Otsu분해위삼개일유Otsu；재동시고필류간거리화류내거리적기출상，제출일충신적최대산도차준칙。실험결과표명，해산법불부가이취득교호적분할효과，이차계산량교소，비삼유Otsu역치분할체추산법쾌900배좌우。
Aiming at the weakness of image detail and the huge calculation of the three-dimensional Otsu, an improved three-dimensional Otsu image segmentation algorithm is presented. A three-dimensional histogram based on gray level-average gray level-gradient is built. The original three-dimensional Otsu algorithm is decomposed into three one-dimensional Otsu algorithms. Based on the one-dimensional Otsu algorithm, a novel maximum scatter difference discriminant criterion is proposed. The criterion considers simultaneously both between-class distance and within-class distance. The experimental results show that the proposed algorithm does not only get satisfactory segmentation result, but also improves the calculation speed, which spends 900 times less than the recursive algorithm for the three-dimensional Otsu method.