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In this paper a new algorithm for recognizing digital numbers on coal gas meters is presented. Firstly, the RGB image of the coal gas meter is converted into the CIE 1931 XYZ color space, and the digital area is extracted in the CIE space by four line equations. Secondly the horizontal and vertical edges are detected on the G value image of the original RGB image, and tilt correction is finished by using the Radon transformation algorithm. Thirdly the CMYK color features are used to strengthen the contrast, and the digital regional characteristics are enhanced by using morphological operations. Fourthly, the ideal binary image is obtained by combing the `Otsu method' with a ratio estimation method, and then row and column projections are done to finish the segmentation of the digital numbers. Finally a neural network model trained using the back-propagation algorithm is adopted to recognize the numbers. Experimental results show that our method can attain ideal recognition results.

A new method for 3D visualization of geological entities based on the volume element of triangular-prism is presented in this paper. This method firstly preprocesses the original drill data into grid elevation data and each layer's grids are corresponding. Then this method links the corresponding grids of two consecutive layers so as to get the quadrangular of each stratum. We divide this quadrangular into two triangular-prisms and treat them as our volume element. According to the data structure of the triangular-prisms the author proposed, this paper divides the cutting condition of triangular-prism into three types, which are full-cutting, peculiar-cutting and pseudo-cutting. The characteristics and the detailed triangular-prism cutting forms of each cutting type are also proposed in this paper. The author uses this method to simulate the 3D geological-entities of a coalmine in Huainan China and gets a satisfying result