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.
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.
它是指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。
It refers to the characteristics of image into regional extracts interested target technology and process.
首先利用运动估计预测目标在下一帧的感兴趣区域，也就是跟踪窗。
The regions of interest which contain the target in the next frame, namely tracking windows, are predicted by motion estimator.
利用运动估计预测目标在下一帧的感兴趣区域，即跟踪窗。
Firstly the regions of interest which contained the target in the next frame, namely tracking windows, were predicted by motion estimator.
对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。
As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.
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.
实验结果证明，该方法对于纹理较强的侧扫声纳图像中感兴趣区域（目标）的检测有较好的效果。
Results show that the method has a perfect performance for regions of interest (target) detection of side-scan sonar image with strong texture.
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.
感兴趣区域定位是提取目标特征，进行目标识别与跟踪等后续处理的重要基础。
Detecting regions of interest(ROIs) is the base step for object's feature extraction, identification and tracking.
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.
本发明公开一种基于感兴趣区域的图像检索方法，包括：使用矩形框选定需要检索的目标所在的区域；
The invention discloses an image searching method based on a region of interest (ROI), which comprises the following steps: selecting regions of objects to be searched by using a rectangular frame;
文中提出的方法可以自动提取图像的感兴趣区域，从而摒弃了采用手工标识的方式选择显著区域，使区域的匹配目标更为明确；
The presented method can automatically extract the salience regions, rejecting the approach chosen by hand to mark a salience area, thus the extracted regions match the target well;
文中提出的方法可以自动提取图像的感兴趣区域，从而摒弃了采用手工标识的方式选择显著区域，使区域的匹配目标更为明确；
The presented method can automatically extract the salience regions, rejecting the approach chosen by hand to mark a salience area, thus the extracted regions match the target well;
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