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。
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。
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。
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。
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。
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。
Difference method can also be used for initial segmentation in multi-object detection and tracking or be integrated with other methods.
一般采用差分法作为多目标检测与跟踪的初始分割，或者与其他方法结合使用。
In this paper, one kind of segmentation methods of manmade object based on edge detection is introduced, which applies fractal, morphology and others comprehensively.
介绍了一种综合运用分形、形态学等方法，基于边沿的自然场景中人造目标的分割方法。
In this paper, one kind of segmentation methods of manmade object based on edge detection is introduced, which applies fractal, morphology and others comprehensively.
介绍了一种综合运用分形、形态学等方法，基于边沿的自然场景中人造目标的分割方法。
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