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