【摘要】 针对强调波谷算法和强调波谷邻域算法,都只考虑阈值所在波谷及其邻域的灰度值出现概率对分割结果的影响,提出一种结合波谷的灰度值与其空间分布性的改进的OTSU算法,并构造出一种新的标准差因子,由此形成一个新的阈值分割目标公式.经过仿真实验,文章提出的算法能有效分割光照不均的图像,有很强的实用性.更多还原

【Abstract】 The valley-emphasis method and the neighborhood valley-emphasis method all consider the gray threshold, where the valley and the neighborhood values affect the probability of segmentation results. This paper proposes an improved Otsu algorithm, which combines valley gray value and spatial distribution of the image, and constructs a new standard deviation factor, thus forms a new threshold segmentation of the target formula. Through the simulation experiment, the proposed algorithm can effectively segment the images, which has a very strong practicability.更多还原