1) iterative threshold segmentation
迭代阈值分割
1.
Firstly,we use iterative threshold segmentation treat to image before watershed algorithm,thus effective inhibition over -segmentation caused by grey level change of the surface of picture,which can be located at the contour more accurately.
针对基于区域的分水岭算法中通常存在的严重过分割现象,采用两点措施来改进:其一是在分水岭分割之前采用迭代阈值分割算法对图像进行分割,从而有效地抑制了由图片表面的灰度变化引起的过分割,使边缘定位更加准确;其二是在分水岭分割之后以基于面积,对比度和深度控制的区域合并准则,有效抑制过分割现象,同时满足感兴趣区的分割要求,实验表明该方法简单有效,能够得到符合人类视觉系统特性的分割结果。
2.
For the accurate segmentation of the nucleus,the conventional iterative threshold segmentation are improved.
在灰度空间,通过改进的迭代阈值分割算法,对白细胞的胞核进行了精确的定位和检出。
2) Optimal iterative threshold segmentation
最优迭代阈值分割
3) iterative threshold
迭代阈值
1.
Aiming at problems in current study of sonar image enhancement,a new enhancement method based iterative threshold was presented,the criterion function and frequency response were used to evaluate and compare current image enhancement arithmeti.
针对声呐图像增强算法研究较少等问题,提出了一种迭代阈值图像增强算法,并采用评价准则算法和频域响应法对常用的几种图像增强算法进行比较分析。
2.
A modification to Linearly Decreasing Weight strategy in standard Particle Swarm Optimization is taken by introducing descending index and iterative threshold.
引入递减指数和迭代阈值对基本粒子群算法中线性递减权策略进行了改进,在优化迭代过程中,惯性权重随当前迭代次数、指数递减率和迭代阈值非线性变化。
3.
The identification card scanned image is seriously affected by laser restraining false shadow grid, several binarization methods of document image are studied according to this characteristic, an image binarization method is proposed , which is called iterative threshold methodbased on the neighborhood feature of the pixels .
针对身份证扫描图像受激光防伪阴影网格线影响较大的特点,对图像二值化的方法进行了深入分析和研究,提出了一种基于像素邻域特征的迭代阈值方法。
4) 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
5) 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：地理阈值
亦称地理临界值。它将地理系统中的不同状态加以分隔与区分，把某一性质的表现范围加以限制和说明。在此种意义上，地理阈值代表了系统的“状态空间”的非连续性。在一般叙述中，常把地理阈值等同于地理系统边界条件，但二者是有区别的：如果两种不同的状态同时存在于相同的边界条件之中时，地理阈值的表现可能是“非传递性”的转移；而当两种不同状态分置于不同的边界条件之中时，地理阈值的表现可能是“过渡性”地转移。无论是非传递性转移的地理阈值，还是过渡性转移的地理阈值，都使地理系统中不可能具备唯一的、通用的或稳定的解。所谓“解”都是有条件的，都是在地理阈值约束下的解。
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