It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.
通过局部图像增强的自动阈值选择等手段，解决视网膜血管图像与局部背景之间因灰度混同所造成的二值化困难；
The automatic diagnosis and diagnosis of pathology image also needs the image restoration, division, the quantification, the enhancement tool, as well as the effective algorithm about visualization.
病理图像的自动识别和诊断需要开发图像修复、分割、量化、增强以及可视化的有效算法。
It can implement FPA data sample, data rearrange, nonuniformity correction, image enhancement, defect pixel automatic searching and compensation, video signal synthesizing and displaying, etc.
可以实时完成焦平面信号的数据采集、数据重排、非均匀性校正、图像增强、疵点自动查找和补偿以及视频合成显示等一系列功能。
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