The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统的灰度共
矩阵在计
特征时计量大，且分辨能力差的缺点。
The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统的灰度共矩阵在计特征时计量大，且分辨能力差的缺点。
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