【摘要】 基于共生矩阵的相对熵阈值分割法是一类常用的图像分割方法。采用自适应滤波方法构造非对称共生矩阵,对相对熵阈值分割法进行改进,使其更好地适应含噪图像的阈值分割问题。实验结果表明,该方法能更有效地降低噪声干扰,使分割目标更为完整,边缘更加清晰。更多还原

【Abstract】 The relative entropy thresholding segmentation algorithm based on the co-occurrence matrix is a commonly used image segmentation method.An asymmetric co-occurrence matrix was constructed by an adaptive filter method to improve the relative entropy thresholding segmentation method,which is better adapted to the noise images segmentation.The segmentation experiment results show that this method can reduce the noise interferes more effectively,and get the more complete objectives and the more distinct edge.更多还原