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ASME Press Select Proceedings

International Conference on Computer and Computer Intelligence (ICCCI 2011)

By
Yi Xie
Yi Xie
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ISBN:
9780791859926
No. of Pages:
740
Publisher:
ASME Press
Publication date:
2011

This paper presents a mineral identification method using Image enhancement methods, perception algorithm and Support Vector Machine theory. First, normalization and image enhancement technology are used to process image, and then perceptron algorithm is followed to identify ore automatically, last Support Vector Machine learning mechanism is used to improve the recognition rate of ore. Experimental results show that recognition rate of Digital image processing mineral identification method is more than 90% and it can be effectively applied in the field of mineral identification.

Abstract
Key Words
1 Introduction
2 Image Processing
3 Feature Extraction
4. Automatic Identification of the ORE
5. Summaries
References
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