摘要
设计开发一种基于MATLAB的煤粒图像识别系统,通过图像识别技术对煤粒图像进行分析,并且提取出适量的图像特征量进行分析比对,然后将相应参数作为神经网络的输入,对煤粒的密度级别进行预测。希望本文的研究能够对选煤新技术的发展以及选煤生产效率的提升起到一定的参考和借鉴意义。
Design developed a grain of coal based on MATLAB image recognition system, through the im- age recognition technology of coal grain image analysis, and extract the right amount of image character- istic comparison analysis, and then insert the corresponding parameters as the neural network＇s input, the density of the level of coal grain are predicted. We hope that this paper research can choose to coal to the development of new technologies and choose to promote the efficiency of coal production plays a cer- tain reference and the significance.
出处
《煤炭技术》
CAS
北大核心
2013年第1期130-132,共3页
Coal Technology
