Applying this entropie thresholding algorithm to human liver CT image, the result of segmentation is satisfying.
应用于肝脏CT图象，获得了较为理想的结果。
And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.
并在此基础上确定了自适应阈值计算方法，建立了新的阈值去噪法，可用于去除相干噪声。
Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.
传统的阈值化算法仅仅使用像素点的灰度级信息，因而要求图像中的目标和背景在灰度级上是可分的。
Based on maximum relativity criterion, a new thresholding algorithm for image segmentation is proposed which is more simple than the thresholding algorithm based on maximum entropy.
提出了一种基于最大相关准则的图像阈值分割法。该算法比基于最大熵原理的图像分割法更简便。
Firstly, nucleus regions of leukocytes in images are automatically segmented by K-mean clustering method. Then single leukocyte region is detected by utilizing thresholding algorithm segmentation.
首先，运用K-均值聚类方法提取出细胞核，并且采用多域值分割演算法去除细胞图像中的背景区域。
The hybrid algorithm integrates adaptive thresholding and connected-components analysis into one pass of image processing.
该算法将自适应取阈方法和连通分量分析方法集成于一次图像扫描处理中实现。
A algorithm of image segmentation is proposed based on relative entropy selection thresholding and edge detection.
利用相对熵选择阈值和边缘检测提出一种图象分割算法。
The moment-preserving thresholding method is used to pick-up targets, the mass centroid tracking algorithm and linear-fitting predicting approach are used to tracking targets.
采用矩持阈值分割方法提取目标，采用质心跟踪算法及基于线性微分拟合的记忆外推跟踪技术跟踪目标。
In this paper, one corneal contour extraction algorithm based on the fusion of the adaptive thresholding and thinning algorithm is presented.
提出了一种基于动态域值选择和细化算法的角膜细胞轮廓抽取算法。
As for image multilevel thresholding, this paper proposed a novel algorithm.
针对多阈值分割问题，提出了一种新的多阈值分割算法。
Firstly the new algorithm processes the image by extracting edge and thresholding, then calculates the correlation of the binary images using the defined ESD distance.
该算法首先对图像进行边界提取并二值化，然后利用所定义的基于边缘的相似距离(esd)对处理后的二值图像进行相似性匹配运算。
Before thresholding an object, in each iteration of the thresholding process, the algorithm calculates the size, shape and g...
目标分割前，在每一次迭代分割过程中计算目标的尺寸、形状以及其灰度变化范围。
Before thresholding an object, in each iteration of the thresholding process, the algorithm calculates the size, shape and g...
目标分割前，在每一次迭代分割过程中计算目标的尺寸、形状以及其灰度变化范围。
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