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 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。
The image after - processing was made based on the combination of Label Region and Threshold Segmentation.
最后，结合区域标识和面积阈值分割等方法进行了后处理操作。
Binaryzation image is obtained through adaptive threshold segmentation and noise is removed by sorting method.
采用自适应门限进行阈值分割，得到二值化的图像；利用聚类的方法去掉噪声点。
The CCS platform, will migrate toc + + code on DM642 can be used directly. Function is the image threshold segmentation.
说明：在CCS平台上的，将c++移植到DM 642上的代码，可以直接使用。功能是图像阈值分割。
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。
Firstly, the algorithm segments the original images with the threshold segmentation and obtains the segmentation value of voxels.
通过对两幅断层图像进行门限分割，获得体素的分割值。
This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.
提出了一种基于多重色彩转换和模糊阈值分割的垩白米检测方法。
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；
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。
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。
Firstly, the original images were segmented several regions by the threshold segmentation and the segmentation value of voxels could be obtained.
通过对两幅断层图像进行门限分割，获得体素的分割值。
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。
The algorithm includes two major phases: 1)removing white noise and acnode noise by threshold segmentation and grayscale neighborhood property respectively;
该算法的主要步骤分两步：1）分别采用阈值分割和灰度邻域属性法消除白噪声及孤点噪声；
Compared with other methods, the algorithm has obvious advantages and it can be applied to all two-dimensional histogram based threshold segmentation methods.
经过和其他算法比较表明，该算法有明显的优越性，可以运用于基于二维直方图的阁值分割中。
The image threshold segmentation algorithm based on the Particle Swarm Optimization (PSO) combined with the rough entropy based on boundary region is presented.
提出一种基于微粒群优化(PSO)的边界区域粗糙熵的阈值图像分割算法。
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。
In this paper changing threshold segmentation and grid technology is applied so that computer vision system is to save time, to improve accuracy and processing speed.
本文中可变阈值分割方法和“栅格”技术的采用，使该计算机视觉系统节省了时间，提高了精度和识别处理的速度。
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。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
The methods of image processing included gray transformation, threshold segmentation, logic calculation, spatial filter and so on. They were all analyzed in great detail.
论文对所用到的图像预处理的方法都进行了详细的分析，并给出了它们的算法框图或部分源代码，也对比了各种方法处理前后的效果。
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。
Firstly, a rough motion mask is obtained by introducing a motion area segmentation method based on an improved accumulative frame- difference algorithm and optimal threshold segmentation.
利用小波包分析算法提取出单帧图像的边缘信息并获得细化的目标区域边缘图；
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
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。
According to different optics-dispersion character, threshold segmentation method is proposed to identify gas from the gas-water flow, which make steadfast base for further calculate void fraction.
根据气泡和水对光的反射特性不同，提出采用阈值法识别图像中的气泡和水，从而为进一步计算掺气浓度打下坚实的基础。
According to different optics-dispersion character, threshold segmentation method is proposed to identify gas from the gas-water flow, which make steadfast base for further calculate void fraction.
根据气泡和水对光的反射特性不同，提出采用阈值法识别图像中的气泡和水，从而为进一步计算掺气浓度打下坚实的基础。
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