Limestone lithological classification, using image processing and pattern recognition technique

F. Khorram, H. Memarian, B. Tokhmechi, H. S. Zadeh

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Image processing is a technique that simulates the human vision system. This technique enables applying every statistical or intelligent operation to recognize differences. In this way this new technique is used in quality control systems in most industries. Studying sedimentary rocks is very important from the economic point of view. Some units of sedimentary sequences involve different mineral deposits, hydrocarbon and water resources. Therefore it is important to identify and classify different sedimentary rocks. Descriptive classification of sedimentary rocks is usually based on visual and textural features and chemical composition of a sample. In this paper different samples of a limestone mine in central part of Iran are classified. The samples were collected from different parts of the mine and crushed down in size from 2.58 cm to 3.58 cm. The rock samples were labeled based on percentage of chemical and lithological compositions. Each sample was assigned to one of the distinguished groups. The images of the samples were taken in appropriate environment and processed. A total of 74 features were extracted from the identified rock samples in all images. In order to feature dimensional decrease, principal component analysis method was used. Then Bayesian statistical algorithm was used as a useful tool for classification. Classification Correctness Rate (CCR), calculated for the test data sets are %88, %68, %61 and %72 for the first to fourth class respectively. Therefore it can be inferred that the extracted features of images are appropriate indicators for different samples identification. These precise results besides the advantages of image processing technique, which are increasing speed of operation and decreasing cost, appears to be a desirable success.

Idioma originalInglés
Título de la publicación alojada2012 SME Annual Meeting and Exhibit 2012, SME 2012, Meeting Preprints
Páginas237-240
Número de páginas4
EstadoPublicada - 2012
Publicado de forma externa
Evento2012 SME Annual Meeting and Exhibit 2012, SME 2012 - Seattle, WA, Estados Unidos
Duración: 19 feb. 201222 feb. 2012

Serie de la publicación

Nombre2012 SME Annual Meeting and Exhibit 2012, SME 2012, Meeting Preprints

Conferencia

Conferencia2012 SME Annual Meeting and Exhibit 2012, SME 2012
País/TerritorioEstados Unidos
CiudadSeattle, WA
Período19/02/1222/02/12

Áreas temáticas de ASJC Scopus

  • Geoquímica y petrología
  • Geología
  • Ingeniería geotécnica y geológica

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