【摘要】 提出了一个基于2D直方图的有效的图像分割算法·该算法运用了迭代优化方式,使一个加权平方和目标函数最小化,从而在灰度直方图上获得最优的图像分割效果·从基于2D直方图的图像分割结果上看,该算法同Otsu算法、熵算法具有非常相近的分割结果,而且该算法占有时间上的优势充分体现出来·因此,在要求实时性较高的系统中,例如,实时识别、实时跟踪和监控等系统,新算法具有更大的应用价值·更多还原

【Abstract】 An efficient approach to image segmentation is proposed on the basis of 2-D histogram of images, to achieve optimized segmentation effect on grey-level histograms. The algorithm proposed iteratively minimizes a weighted sum-of-squared-error objective function, thus optimizing finally the image segmentation of gray levels on the histogram. With regard to the effect of image segmentation on 2-D histograms, this method is similar to either Otsu’s method or entropy’s method, but has much more advantages in time occupancy. Therefore, this method has more applications, especially in real-time recognition tracking and surveillance systems.更多还原