The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
析了传统的灰度共生矩阵在计算纹理特征时计算量大，
能力差的缺点。
The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
析了传统的灰度共生矩阵在计算纹理特征时计算量大，能力差的缺点。
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