The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统
灰度共生
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计算纹理特征时计算量大，且分辨能力差缺点。
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