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.
该系统的处理过程主要包括四个阶段：前景分割、目标检测、特征提取和车型分类。
The process of this system includes four phases: the prospects for segmentation, target detection, feature extraction and classification models.
提出一种以目标检测、目标分割、目标方位角估计和目标不变性特征提取为线索的SAR目标识别框架。
We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.
最后，将运动目标的初始模板和彩色精确分割结合起来提取出具有精确边缘的运动目标。
Finally, the precise contour of the object is extracted by the fusion of motion template and color clustering result.
选取适当的阈值和边缘检测算子对候选目标进行图像二值分割和边缘提取；
Then, the proper grayscale threshold and edge-detector are selected to obtain the binary image and the target boundary.
根据新的目标函数，设计了一种重要点和自底向上分割相结合的时间序列分段线性化趋势特征提取方法。
The existing algorithms to extract trend features based on time series piecewise linearization representation cannot extract completely correct basic trend features of time series.
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.
海天背景下目标图像的分割，即把目标从海天背景中提取出来，以便于对目标进行自动地探测、跟踪、分类和识别。
The image segmentation on the background of sea and sky is that extract the target from the background, to search, track, class and identify.
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.
图像分割和特征提取，是将摄影图像里的目标物体与其周围的景物分割，并且获取其特征点数据的方法和技术。
The method of image segmentation and feature extraction is to segment a individual tree from its surrounding sceneries in the photography image of the woodland, and mark the feature points.
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.
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.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
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