A recursively increasing threshold method for the segmentation of laser scanning confocal microscopic (LSCM) biomedical images is presented.
提出了用于激光共焦显微生物医学图象分割的循环递增阈值分割法。
Temporal segmentation was based on change detection, whose key factor was the selection of appropriate threshold by histogram analysis.
时间分割采用变化检测，其关键的阈值选取通过直方图分析得到。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
It combined the technology of image smooth, region segmentation and threshold segmentation and picked up the object auto. It has high speed and high veracity in program.
该方法将图像平滑、区域分割、阈值分割等多种图像处理技术有机的结合，对采集的图片成功的实现目标汽车提取，并且具有计算速度快、准确性高的特点。
By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.
综合运用阈值分割、边缘识别和像素标记法等图像识别技术，通过图像得到每个模型的相关定位信息。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
This method splits difference image into a set of subimages, and determines segmentation threshold of the whole scene by combining the thresholds of subimages.
该方法将差异图像分割成子图像，通过求子图像的局部阈值来确定差异图像的整体阈值。
After researching the image segmentation, we get the two-value image of the image of down with the threshold of it.
以及图像分割技术的研究，用最佳的阈值对羽绒图像进行阈值分割，得到满足羽绒检测要求的二值图像。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
Temporal segmentation was based on change detection. Its key was the selection of appropriate threshold, which was obtained by histogram analysis.
时间分割采用变化检测，其关键的阈值选取通过直方图分析得到。
According to the characteristics of radar image, a method of image segmentation is suggested by performing threshold processing directly after edge detection instead of close curves.
根据雷达图像的特点提出边缘检测后不做曲线闭合，而直接进行阈值处理的图像分割。
The first method is adaptive threshold segmentation based on local blocks of image.
第一种图像分割方法是基于局部分块的图像自适应阈值分割方法。
The grayscale threshold method was selected to background segmentation, which can reserve the color information of rice seed and remove its background.
为了保留目标的颜色信息，而又要将背景去除，采用灰度阈值法进行背景分割。
Finally, compared with the conventional method of threshold segmentation, the result of the treatment of actual field pictures shows that this algorithm is more effective for the road recognition.
与传统的阈值分割算法的对比处理试验表明，此识别算法可以明显地改善路径识别效果。
The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.
本文对现有的各种图像阈值分割方法进行综述，重点介绍了基于图像灰度直方图的阈值分割方法。
A segmentation algorithm based on threshold analysis and region growing method is proposed for the CT images of plant root.
结合根系构型研究的需要，提出一种基于阈值分析和区域生长相结合的用于植物根系ct图像的图像分割算法。
While classified object cannot be calibrated or is too complicated, hard to acquire perfect result of segmentation by normal threshold segmentation.
当分类目标无法标定，或分类目标复杂性高时，采用一般的阈值分割很难获得较满意的结果。
Therefore the optimum threshold is acquired and the nucleus of white blood cells are segmented by the optimum threshold segmentation.
利用最优阈值对饱和度图像进行阈值分割来提取白细胞核；
Image threshold technology is the most commonly used method of image segmentation because its principle is very simple and easy to implement.
图像的阈值分割技术由于其原理简单，易于实现，已成为目前最常用的图像分割方法。
The image threshold segmentation method of pests in stored grain is a base and very important part.
阐述了储粮害虫图像分割是储粮害虫智能检测识别系统的基础和关键。
A fast threshold segmentation algorithm based on pixels grey-scale percentage was put forward to satisfy the real-time requirement of the system.
提出了一种基于像素灰度百分比的快速阈值分割算法，满足系统实时性的要求。
Finally, the output of this algorithm is the optimal threshold. Using this threshold to partition off the pixels, image segmentation is implemented.
最后，通过寻优搜索得到算法的输出值即为最优阈值，以此阈值划分像素，实现图像分割。
Experimental results show that this method can be effectively applied for the multi-threshold segmentation of complex images.
应用实例结果表明，该方法能够快速有效地实现复杂图象的多阈值分割。
This paper analyzes the characteristics of the characters under complex background to propose a segmentation method combining the threshold method and the region-growing method for the hue.
通过分析复杂背景中字符存在的特点，针对快速分割和识别的应用需求，提出了一种在色调上将阀值法和区域生长法相结合的分割方法。
This paper proposes a hybrid method based on threshold segmentation and region growing algorithm to estimate the approximate area of cell.
对于细胞面积的近似计算提出了基于阈值分割和区域生长算法统计分析细胞的平均面积的方法。
The method of face detection is establishment of skin color model and computation of similarity graph, then classify by threshold segmentation.
脸部位置的检测定位主要建立肤色模型以及计算肤色相似度图，通过阈值分割方法进行分类和定位。
The method of face detection is establishment of skin color model and computation of similarity graph, then classify by threshold segmentation.
脸部位置的检测定位主要建立肤色模型以及计算肤色相似度图，通过阈值分割方法进行分类和定位。
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