A image enhancement algorithm based on the weighted neighborhood averaging and the edge detection was suggested.
设计了基于领域加权平均和边缘检测的视频图像增强算法。
And the neighborhood averaging, threshold choice and image segmentation in the image processing are adopted in the system.
该系统采用了图象处理中的邻域平均法、阈值选取及图象分割技术。
Averaging method of neighborhood and medium filtering method are used to effectively overcome thermionic noise as result of courses of image transferring, gathering and quantization and so on.
对由于图像采集、传输、量化过程中产生的热电子噪声，利用了邻域平均和加权中值滤波方法来有效地减小。
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