Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic identification method for shale microsections

A thin-film, automatic technology used in character and pattern recognition, instruments, computer parts, etc. to solve problems such as inefficiency, identification process dependent on personal experience, and high cost

Active Publication Date: 2014-11-05
NANJING UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing rock thin section identification is mostly manual, which not only requires professional identification experts, but also is expensive and inefficient; the identification process relies too much on personal experience and cannot be repeated

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic identification method for shale microsections
  • Automatic identification method for shale microsections
  • Automatic identification method for shale microsections

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0049]The method of the present invention is divided into two stages and seven steps in total, wherein the first stage is to classify rock categories, including steps 1 to 5; the second stage is to identify shale, including steps 6 and 7. In each stage, 15 statistical features of RGB channels and fractal features of 4 gray channels are extracted, a total of 19 features form feature vectors. The specific implementation of each step is as follows:

[0050] The first step is to count the color scale distribution according to the three color channels of the bitmap image. Let the bitmap image corresponding to the rock slice contain M rows and N columns, so there are MN pixels in total. Corresponding to the three basic colors of red (R), green (G) and blue (B), each color channel is expressed as an M×N matrix; the elements of the matrix (representing pixels) are color values, which are divided into 256 color levels, Represented by the value 0-255. In order to obtain the color sca...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an automatic identification method for shale microsections. The method comprises the steps that (1) at the first stage, rock slices are divided into igneous rock, sedimentary rock and metamorphic rock; (2) at the second stage, shale is identified from the sedimentary rock obtained according to classification at the first stage. The classification identification technologies adopted at the two stages are both the decision tree technology, and extracted characteristics all belong to statistical characteristics of RGB channels and fractal characteristics of gray channels of images of the rock slices. According to the method, the shale microsections are automatically identified through the information processing technology at the two stages, so that the problem of non-ideal classification results caused by data imbalance is solved. With respect to characteristic selection, the good fractal characteristics of the shale are fully utilized, and the method is applicable to automatic identification of the shale. The automatic identification method is simple and efficient in calculation and has expansibility, and the accuracy of the identification method can be improved along with an increase in data storage of the rock slices; the method has application value in geological prospecting and mineral research.

Description

technical field [0001] The invention relates to a method for identifying objects by using images, in particular to an automatic identification method for shale microscopic slices. The method aims at the high cost of manual identification of rock microscopic slices, and uses information processing technology to realize the automatic identification of shale thin slices. identification. Background technique [0002] Rock thin section identification is based on the optical properties of the rock to determine the type of rock, and then determine its structure, source and genesis. Shale is a kind of sedimentary rock, mainly composed of clay deposits formed by pressure and temperature, mixed with quartz, feldspar debris and other chemical substances, the composition is complex, but all shales have thin sheets or flakes Layered joints and relatively single color; shale oil and shale gas are mostly found in shale layers, and shale identification is helpful for energy exploration. E...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54G06K9/62
Inventor 汪丹茹郝慧珍顾庆胡修棉陈道蓄
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com