Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.
物体的形状识别是模式识别的重要方向，广泛应用于图像分析、机器视觉和目标识别等领域。
The later hast he function of recognition, namely when the target is in the recognition zone, this subsystem starts up and recognizes precisely what object appear in this area.
后者主要担负识别的功能，即当目标进入识别区后，对目标进行精细识别。
Adopting the appropriate method to get over the aberrances of the target and background is one of the difficulties to the object recognition field.
采用合适的目标识别方法来尽量克服目标和背景产生的畸变，这是目标识别领域的一个难点所在。
Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.
物体的形状识别是模式识别的重要方向之一，广泛应用于图像分析、机器视觉和目标识别等领域。
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。
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。
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