1) two-dimensional histogram oblique segmentation
二维直方图区域斜分
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.
Maximum Entropy Image Thresholding Based on Two-Dimensional Histogram Oblique Segmentation
二维直方图区域斜分的最大熵阈值分割算法
3.
A new method of two-dimensional histogram oblique segmentation is proposed, in which the histogram is divided into inner, edge and noise parts by four oblique lines paralleled with the main diagonal.
本文指出了现有二维直方图区域直分法中存在明显的错分,提出了二维直方图区域斜分方法,即通过与主对角线平行的四条斜线将直方图分成内点区、边界点区和噪声点区,并按灰度级与邻域平均灰度级之和的大小进行分割。
2) region histogram
区域直方图
1.
To address such problem, based on the coordinate relationship between the current boundary pixel and its two lockstep boundary pixels, a general-purpose method ( so called region histogram ) for region shape repres.
针对这样的情况 ,基于区域边界上当前像素与前后两个相邻像素的坐标关系 ,提出了一种称之为区域直方图的用于区域形状表示与描述的通用方法 。
3) two-dimensional histogram
二维直方图
1.
Thresholding using two-dimensional histogram and watershed algorithm in the luggage inspection system;
基于分水线算法的二维直方图阈值化分割在箱包DR-CT检测系统中的应用
2.
In the experiments,we employ a weighted two-dimensional histogram WFCM algorithm to improve the image segmentation effect,since it takes account of spatial relation.
实验利用了加权二维直方图的WFCM算法,考虑像素间的空间信息,改善了图像分割效果。
3.
Aimed at the problem that traditional fuzzy entropy thresholding method based on one dimensional histogram is sensitive to the noise,a novel maximum fuzzy entropy thresholding method based on two-dimensional histogram is presented.
针对基于一维直方图的传统模糊熵算法对噪声敏感的问题,提出了一种新的基于二维直方图的最大模糊熵图像分割算法。
4) 2-D histogram
二维直方图
1.
Image threshold segmentation method based on an improved 2-D histogram;
一种改进的二维直方图的图像阈值分割方法
2.
To realize automatic segmentation and build a 2-D histogram using 2-D entropy,traditional methods research the central gray value and mean value of pixels in the same neighbor.
建立二维直方图并借助二维熵可以自动确定图像分割的阈值。
5) 2D histogram
二维直方图
1.
Image segmentation of mean shift based on improved 2D histogram
一种改进的二维直方图均值漂移分割算法
2.
This paper studies the application of fuzzy c-means(FCM) clustering algorithm in the image segmentation,and a fast image segmentation method is presented based on a 2D histogram weighting FCM algorithm.
提出一种基于二维直方图加权的模糊c均值图像快速分割算法。
3.
A two phased thresholding method is proposed which combines the wavelet transform (WT) with the traditional 2D histogram based thresholding method.
该方法首先对二维直方图进行小波分解，得其低频分量，然后在此低频分量上确定出门限矢量的范围，最后在此范围内确定出精确的门限矢量。
6) two dimensional histogram
二维直方图
1.
A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
提出了基于二维直方图分析的二元子图微光图像增强处理算法 。
2.
To remedy this problem, a new method for color segmentation based on two dimensional histogram is prosented, which can be used to accurately segment and merge colors for color images in some CAD systems.
对此，本文提出了基于二维直方图的颜色分割新方法，实现了一些ＣＡＤ系统图像颜色的准确分割和归并。
补充资料：二分──识二分
【二分──识二分】
﹝出摄大乘论释﹞
论云：于六识中，一分成相，一分成见，故名识二分。
［一、相分］，谓于眼等六识，各各变异，成色等种种诸相，是名相分。（六识者，眼识、耳识、鼻识、舌识、身识、意识也。）
［二、见分］，谓眼等六识，各能了别诸尘境界，是名见分。
﹝出摄大乘论释﹞
论云：于六识中，一分成相，一分成见，故名识二分。
［一、相分］，谓于眼等六识，各各变异，成色等种种诸相，是名相分。（六识者，眼识、耳识、鼻识、舌识、身识、意识也。）
［二、见分］，谓眼等六识，各能了别诸尘境界，是名见分。
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