An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.
对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。
Through the analysis of the features of bridge object in long range IR image, a new recognition algorithm based on knowledge framework is put forward.
针对远距红外图像中桥梁目标的特征，提出了一种基于知识框架的桥梁目标识别算法。
Then we use the technology of image analysis and image division based on the edge to extract the main object and to recognize (classify) the visual characteristic.
然后利用图像分析技术，采用基于边缘的图像分割方法，提取图像的主体区域并进行视觉特征提取与（分类）识别。
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