Worldwide coal in the 21st century will be influenced by concerns about the effects of coal combustion on the\ud local, regional and global environment and on human health. Reliable coal quality data can help decision maker\ud to better assess the risks and limit the possible environmental degradation and impact on health. Although\ud millions of coal analysis have been performed worldwide, existing national quality databases are generally of\ud limited use because much of the data are not readily accessible; geographic coverage are not comprehensive;\ud analytical data may not be accurate; samples may not be representative, or current. This paper attempts to gives\ud a fast, accurate, user-friendly and computerized method for analysis of coal quality using techniques of digital\ud image processing for its better utilization
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.