Image segmentation is very important in object detection , feature extraction and object recognition processing . object outline detection must be done before shape features are extracted 图像分割是解决目标检测、特征提取和目标识别等问题的关键所在，形状特征提取的首要任务就是获得目标图像边界。
This paper mostly has discussed recognition technique of plane targets at airfight , it mainly includes the following several aspects : firstly , analyse study actuality and development direction of this task 本论文是基于dsp的飞机目标图像识别研究,主要做了以下几个方面的工作:首先分析了本课题国内外研究现状和发展方向。
In order to detect and track dim - point targets under the complex background of sky , a high speed method is put , which uses multiwindow , little yardstick , repetitious subtracting and fusing images 摘要针对复杂天空背景下弱点目标的检测与跟踪，提出了一种利用多窗口、小尺度、多次差影融合点目标图像的快速检测与跟踪方法。
Soling this problem can deblur the atmospheric turbulence - degraded image and improe the capability of object identification which is good for late stage works such as object feature extraction and recognition 该问题的解决能够克服大气湍流扰动带来的图像降质和提高目标图像的分辨能力,以便于后续的目标特征提取和识别等处理。
The article analyzes background noise , amplifier noise and detector noise in detail from fixed character of infrared dim - small target image , also processes the infrared image and separates targets from the image 文章主要对红外弱小目标图像中的背景辐射噪声、放大器噪声、探测器噪声进行了详细的定性分析，并对红外图像进行处理，从图像中分离出了弱小目标。
The experimental results show that the information entropy window with the wavelet sub band method enables to produce favorable visual characteristics , and the efficiency of contrast enhancement is 80 % greater than that of the conventional method 实验表明，采用信息熵窗的小波分析方法来增强弱目标图像能够产生良好的效果，对比度增强效率比传统增强方法提高80 %以上。
We reconstruct the dynamic images using the data measured from our physical phantom . the bfgs variable metric method is nonsensitive to noise , the result background is even on the whole . the objects in the images are clear 基于物理模型的实测数据的成像结果表明： bfgs变尺度法抗噪性能较好，图像的背景比较均匀，目标清晰；目标图像的大小与实际大小接近，定位较准确。
Control system of a satellite observer sometimes can not keep tracing in high precision because of absence of target in image processing of short time which might be caused by cloud , other objects such as sun and moon 摘要在人造卫星观测中，经常由于云团遮蔽、经过亮星或日月、软硬件故障等各种原因导致短时间内无法提取目标图像而使控制系统无法继续保持对目标的高精度跟踪。
The image after segmentation still has the noise and the other disturber , it is hard to detect by only one frame image . so the method by use of the relation by frame series is accepted to detect the true target 对于经过分割以后的目标图像,由于存在噪声和其他干扰,因此很难利用单帧信号来实现对目标的可靠检测,故此利用序列图像中上下多帧的相关信息,实现对目标进行有效的检测。
This paper revolves around the central task of image identification . it is mainly about collecting and preprocessing the original data of target images , methods of invariable feature extraction and the identification technology of the artificial neural network 本文围绕图像识别这一个中心课题，研究了目标图像原始数据的获取、预处理、不变性特征的提取方法以及神经网络识别技术。
