The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统
灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差缺点。
The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差缺点。
声明：以上
句、词性分类均由互联网资源自动生成，部分未经过人工审核，
内容亦不代本软件
观点；若发现问题，欢迎向我们指正。
