Rock Intelligent Recognition and Measurement of Particle Size

Article Preview

Abstract:

The technique of wavelet transform is a good method for segmentation of complex image edge. This paper applied Two-B spline wavelet to identify the image edge and removed the false edges better. Based on edge detection,the system implemented the computing on rocks area and perimeter with Pixel statistics arithmetics.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1894-1898

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Jackway: Properties of multiscale morphological smoothing by poweroids. Pattern Recognition Letters, 15: 135~140. (1994).

DOI: 10.1016/0167-8655(94)90042-6

Google Scholar

[2] F. Cheng and A. Venetsanopoulos: An adaptive morphological filter for image processing. IEEE Transactions on Image Processing. 1 (4): 533~539(1992).

DOI: 10.1109/83.199924

Google Scholar

[3] L. Vincent. Morphological area openings and closings for grayscale images. In Y .L. O. A. Toet. D. Foster, H. Heijmans. And P. Meer. Editors, Shape in Picture: Mathematical Description of Shape in Grey-Level Images. 1994. Volume 126 of NATO ASI Series F, pages 197~208.

DOI: 10.1007/978-3-662-03039-4_13

Google Scholar

[4] S. Beucher. Segmentation d'lmages et Morphologie Mathe'matique. PhD thesis, Ecole des Mines de Paris, June (1990).

Google Scholar

[5] M. Grimaud. Ge'ode'sie Numtrique en Morphologie Mathe'matique. Application & la Dttection Automatique de Microcalcifications en Mammographies Numtieques. PhD thesis, Ecole des Mines de paris, December (1991).

Google Scholar

[6] V. Goet, cherian. From binary to grey tone image processing using fiizzy logicconcepts. Pattern Recognition, 12: 7~15, (1980).

DOI: 10.1016/0031-3203(80)90049-7

Google Scholar

[7] L. Vincent. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Transactions on Image Processing, 2 (2): 176~201, April, (1993).

DOI: 10.1109/83.217222

Google Scholar