Therefore, the study on the theories and related technologies of image object segmentation is quite meaningful.
因此，对图像对象分割理论及其相关技术进行研究具有十分重要的意义。
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.
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 key step in object recognition and image understanding.
图象分割是图象理解和物体识别的第一步处理。
On the one hand, image segmentation is the basis of object expression, and has a great influence on feature measure.
一方面，图象分割是目标表达的基础，对特征测量有重要影响。
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。
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.
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。
Video object segmentation is the one of the focus in the field of image and video processing.
视频对象分割是当前图像和视频处理的热点和难点之一。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
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。
It has a effective result in the segmentation and targeting detection of moving object image.
对包含运动目标的图像有着较好的分割和目标检测效果。
In object detection of high frequency sonar image, it needs to get the parameters of foreground objects after image segmentation.
在高频声纳图像目标检测中，对图像分割后，需要对前景目标参数进行提取。
This paper proposes a novel approach to object semanteme based image segmentation and classification.
提出一种基于对象语义的图像分割和分类方法。
The optimal segmentation scale means in that image level pure object is most and mix object is lest.
度也就是选择影像中纯对象最多而混合对象数目最少的分割尺度。
The detection and segmentation of Object-of-Interest (OOI extraction) are always among the key issue of several fields, such as computer vision, image understanding and pattern recognition etc.
感兴趣的物体检测和分割(统称为感兴趣物体的提取)一直是计算机视觉、图像理解和模式识别等研究领域的重要关注点之一。
This paper used RS images as the primary segmentation object, made a study of RS image segmentation methods, and proposed an effective method for RS image segmentation.
本文以遥感图像为主要的分割对象，对图像分割的相关技术进行了研究，并提出了一种有效的遥感图像分割方法。
A new approach of object description after image segmentation to obtain objects' feature is introduced.
提出了一种二值图像分割的快速目标描述算法。
In order that the image tracking system can select segmentation algorithm itself according to the object image feature, this paper presents an intelligent decision method of image segmentation.
为了使图像跟踪系统能根据图像特征自适应选取分割算法，给出了一种基于粗糙集理论的图像分割智能决策方法。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
This paper presents a quick object image segmentation algorithm based on adaptive threshold against infrared object images in complex background.
针对复杂场景中的红外目标图象，本文提出了一种基于自适应阈值面的目标图象快速分割算法。
This thesis mainly deals with the infrared target detection under complex background, which is achieved by the methods of image enhancement, image segmentation and object recognition.
本文主要研究了复杂背景下红外成像的目标检测问题，通过红外图像的增强、分割以及目标识别等手段实现目标的可靠检测。
Video object segmentation aims to partition an image sequence into moving objects and to track the evolution of the moving objects along the time axis.
视频对象分割，旨在分割出视频序列中的运动对象并沿时间轴跟踪运动对象的演进。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
A practical approach of object description after image segmentation to obtain objects' features is introduced in this paper.
提出一种二值分割图像目标描述的实现方法，用以获取目标特征量。
Based on the practice of mobile robot vision navigation, the paper presents methods of image segmentation based on color models and object recognition.
基于移动机器人视觉处理的实践，提出了基于颜色模型的图像分割方法。
Image segmentation is significant because all subsequent tasks such as feature extraction, object recognition are dependent on the quality of image segmentation.
图像在分割后的处理，如特征提取、目标识别等都依赖于图像的分割质量，因此具有十分重要的意义。
This paper proposes a motion based region growing segmentation scheme for the object based video coding which segments an image into homogeneous regions characterized by a coherent motion.
针对基于对象的视频编码应用，提出了一种基于运动的区域生长分割方案，将图像分割成具有一致运动特征的区域。
Image segmentation and object tracking are important research task in the field of computer vision, they are wildly used in areas such as pattern recognition, image editing, intelligent surveillance.
图像分割和目标跟踪技术是计算机视觉领域的重要的研究方向，在模式识别、图像编辑、智能监控等领域有着广泛的应用。
Image segmentation and object extraction are the key steps in image process.
图象分割和对象提取是从图象处理到图象分析的关键步骤。
Image segmentation and pattern recognition technologies for underwater object are two important links in underwater optical vision technology.
水下目标的图像分割和模式识别技术是水下光视觉技术中的两个重要环节。
Generally speaking, to segment an image is very difficult. The current image segmentation algorithm is the technology aiming at the object of segmentation and it is also related to the certain issues.
但对图像进行分割在一般意义下十分因难，目前的图像分割算法都是针对分割对象的技术，与具体问题相关。
In case when for the object a model representative of the target is selected, the method 1 follows to the image segmentation step 19, whereby a suitable segmentation is performed.
针对对象选择了代表目标的模型的情况下，方法1跟随至图像分割步骤19，其中，执行了合适的分割。
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