本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
实现了对同一类典型目标区域的分析和分割。
At last realize the analysis and segmentation of the typical targets regions.
图像分割是从输入图像中提取目标或感兴趣区域的过程，是目标检测和识别过程中的重要步骤。
Image segmentation is the process of detecting objects or interesting areas from input image, and it is an important step in object detection and recognition.
农田地块图像包含的目标区域多、不同地物间信息相互影响和干扰明显，因此农田地块图像的分割提取非常困难。
Field parcel image consists of multiple target regions where different field objects are always interfered each other, so segmentation and feature extraction of field parcel image are very diffcult.
文中提出了利用SEM算法和区域生长法相结合的方法进行目标分割。
An algorithm, which combines SEM algorithm and region growing method, is put up to segment target.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
数字图像的边缘检测是图像分割、目标区域识别、区域形状提取等图像分析领域中十分重要的基础。
Figure image edge detection is very important basis in image -division, identify object zone, pick-up zone shape.
用计算机模拟了整形手术过程中对目标的任意区域分割与控制。
Computer simulation for region segmentation and control is fulfilled during the plastic surgery.
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。
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.
首先计算文本区域的灰度-梯度共生矩阵，并根据目标函数快速地找到分割的灰度和梯度最佳阈值；
The gray-gradient co-occurrence matrix of the text region is calculated, and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.
其目标检测通过确定跟踪区域、分割目标等步骤先减少噪声影响，使图像对比度增强，把目标从背景中突显出来。
The target detection reduces the noise, enhances the image's contrast, and extrudes the target from background through making sure of tracking region and dividing target.
该文借助知识理论，提出一种新的基于子图像块的区域分割与边缘检测相结合的目标提取方法。
Firstly, we coarsely detect the feature image obtained from subimage blocks, the target regions are identified according to prior knowledge.
结果表明，该方法能够有效地确定舰船目标红外图像中的海天线区域，保证了目标分割的有效性和实时性。
The experiment result with ship target infrared image shows that this method can locate precise ly the horizontal region and assures the validity and real-time of image segmentation.
提出了利用图像局部最大熵进行区域增长的多目标分割方法。
A method of region growth based on maximum value of local entropy is developed.
然后通过形态学运算进行处理，抑制干扰性分割，同时填充目标区域内部空洞，改善分割效果。
And then, the morphological operation was used to restrain the interfering segmentations and to fill the holes in the target regions, which could prominently improve the segmentation effects.
图像分割是指把图像分成具有相同特性的区域并提取出感兴趣的目标的技术和过程。
Image segmentation was a technology and process that refers to make the image into regions with same characteristics and extract the interested objects.
利用形态学水线区域分割法对图像进行分割，分离目标区域。
Segmenting infrared image by regional method of morphology watershed, the target region can be isolated.
数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础。
Fringe examination of the digital image is an important fundamental to explore the further image processing areas, such as image division, object region reorganization and region shape picking-up.
图像分割是图像获取和图像分析之间最关键的图像处理步骤，其目的是从复杂的景象中提取出感兴趣目标区域。
Image segmentation is one of the most critical processing steps between image acquisition and image analysis. It aims to extract the region of interest from complex scenes.
该方法先在静态图像中分割出感兴趣区域，继而仅在感兴趣区域中应用变形的时间差分法来检测运动目标。
Those regions of interest are quickly segmented first and then a modified temporal differencing method is applied to detecting the moving objects.
对于待跟踪的运动目标，采用三帧差和区域增长法分割目标并得到主颜色信息。
We used frame difference and region growing method to divide target and get main color information.
该方法首先进行中值滤波消除图像脉冲噪声，然后计算图像局部熵进行阈值选择提取目标边缘，最后进行边缘连接分割出目标区域。
The method eliminates impulse noises by median filtering then extracts edges by Otsu's thresholding based on local entropy of image, connects discrete edges and detects objects regions.
图像分割就是把图像分成各具特性的区域并提取出感兴趣目标的技术和过程。
Image segmentation is just to divide an image into different sub-images with different characters and extract some interested objects.
设计了一个先验密度惩罚图像当中分水线变换后的相似的区域，图像分割进而变成对目标子集的最大后验估计。
The segmentation problem is the maximizing a posteriori estimation of the set of object area result from the watershed labeled.
还结合序列图像的相关性，运用免疫计算方法，分割出目标运动区域，形成目标模板，然后在运动序列的各帧动态更新模板。
In light of sequence images' relevance we have utilized immune algorithm to segment object's moving areas and form object templates.
视频运动对象分割的目标是从视频帧序列中间分割出满足一定特征的语义区域。
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
其主要过程是通过用户的参与，分别标记出自己认为的目标和背景区域，然后根据标记点及其邻接点的特征，提取出用户认为的目标，这是一种交互式的分割方法。
The process of this method is that label object and background seeds by uses firstly, then extract the object region according to the feature of the labeled seeds and their adjacent pixels.
摘要：火焰目标区域的分割是火灾探测的重要组成部分。
Absrtact: Flame segmentation is an important part in fire detection.
实验表明，所提算法具有较好的抗噪性和较高的分割效率，可以有效分割出医学图像中的目标区域。
The experimental results show that the algorithm is of more anti-noise ability than the region growing method, and can divide up the region of interest efficiently.
实验表明，所提算法具有较好的抗噪性和较高的分割效率，可以有效分割出医学图像中的目标区域。
The experimental results show that the algorithm is of more anti-noise ability than the region growing method, and can divide up the region of interest efficiently.
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