2) The Segmentation of Media Value
传媒价值的分割
3) segmentation evaluation
分割评价
1.
Thus the accuracy of image segmentation can be evaluated,and then the proposed method is compared with seven methods for segmentation evaluation.
提出了用图像颗粒参数测量方法来计算颗粒形状和粒度分布等,以此评价图像分割的精确度,并和已有的七种分割评价方法进行比较,通过仿真实验进行定性和定量的分析,证明此方法能更好地评价图像分割算法的优劣。
5) thresholding
阈值分割
1.
Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm;
二维直方图区域斜分阈值分割及快速递推算法
2.
The Approach of Color Image Segmentation Combining Thresholding and Clustering;
阈值分割与颜色聚类相结合的色度学图象分割方法
3.
Minimum within-class variance thresholding based on two-dimensional histogram oblique segmentation;
基于二维直方图斜分的最小类内方差阈值分割
6) threshold segmentation
阈值分割
1.
Optimization of color index and threshold segmentation in weed recognition;
杂草识别中颜色特征和阈值分割算法的优化
2.
Study on image threshold segmentation based upon improved fuzzy entropy;
基于改进模糊熵的图像阈值分割方法研究
3.
Study on image threshold segmentation based on genetic algorithm;
基于遗传算法的图像阈值分割研究
补充资料：价值工程(见价值分析)
价值工程(见价值分析)
value engineering; VE: see value analysis; VA
jiazhi以洲笋h6ng价值工程(valuee峪~ng;视)析。见价值分
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条