The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac . the edge contours generated by this method is very legible . the method has a high runtime performance and improves the resistance to noise 本文将图像的三个信息测度作为分量组成边缘特征的测度向量，作为小脑模型神经元网络? cmac的输入，提出一种基于信息测度和cmac网络的边缘检测方法，用该法得到的边缘轮廓清晰，实时性好，并且抗噪能力有明显提高：将上述边缘检测方法应用于无人值守变电站，提出一种瓷瓶裂纹故障监控方案。
This method is especially suitable for small mobile devices such as handheld pcs , palm - size pcs and mobile phones that possess small display screens and light computational power , and work in low bandwidth wireless networks . the system rtbvideo based on the technique mentioned above typically provides qcif - size video with a frame rate of 5 - 15 fps for a 9 . 6 kbps bandwidth in the internet 在上述技术的基础上开发的基于internet互联网的实时视频传输系统rtbvideo ，能够提供格式为qcif ( 176 144 )的视频，人体轮廓清晰，画面稳定流畅，且在9 . 6kbps带宽下能达到每秒5 - 15帧。
The new method can decrease the cost of computation because of its simpler algorithm and smaller number of points in shape - profiles . moreover , interpolation based on such smoothed profiles was also improved for higher accuracy . the comparison was performed through matlab platform in a series of cases , and the results show that both of two improvements are successful 通过matlab编写的试验程序,在多个算例中分别对本文提出的轮廓线光顺算法和基于轮廓线插值的新算法进行了检验,处理结果的对比分析表明两部分新方法都是成功的,放大处理后的图像轮廓清晰光顺、图像色彩过渡真实自然。
After inducing the three basic characteristics of a mining area , the paper offers a rounded categorizing for mining areas for the first time and establishes a conceptual model of the mining area ' s rese system so as to outline a clear theme frame for the paper ' s later researching work , thus the effectiveness and exactness of the selected research issues are improved 在分析归纳出矿区三个基本特征的同时，首次给出了矿区类型的一个完备划分，并建立了矿区rese系统的概念模型，为论文后续研究框定出轮廓清晰的主题范围，从而提高了选题研究的精准性和有效性。
