Automatic identification method of granite microsection
A technology of granite and thin slices, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high cost, low efficiency, and relying on personal experience in the identification process, achieving high accuracy, good scalability, and improving accuracy sexual effect
Inactive Publication Date: 2014-12-03
南京大学镇江高新技术研究院
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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
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[0028] figure 1 Shown is the technical framework of the automatic identification method for granite microsections. The input to the method is the microscopic image of the rock slice; the output of the method is whether the rock slice is granite. In order to ensure the correct application of the method, it is necessary to prepare a rock thin section image data set in advance, and mark whether each image belongs to granite in the data set. The technical framework is divided into 4 steps: first, calculate the color scale distribution according to the three color channels of the bitmap image; then convert it into a grayscale image and then count the color scale distribution; then calculate the color features according to the four color scale distributions; finally, based on the color features A vector of values automatically identifies whether a rock slice is granite.
[0029] Rock thin sections need to be stored, processed and disseminated in the form of digital images, and a...
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The invention discloses an automatic identification method of a granite microsection. The automatic identification method comprises the following steps: 1) decomposing the color channels of a microsection image, and independently calculating chromatic index distribution according to three color channels; 2) converting a colorful image into a gray-scale image, and calculating the chromatic index distribution; 3) according to the chromatic index distribution, calculating color features which comprise a mean value, a median, a variance, skewness and a peak value index; and 4) taking the microsection image as a color feature value vector, and automatically identifying whether the granite microsection is granite by adopting Adaboost technology. The granite microsection is automatically identified by applying information processing technology, fully utilizes the optical property and the lithology composition of the granite, is simple and efficient in calculation and exhibits expansibility. The accuracy of the identification method can be improved along with the increase of granite microsection data reserve, and the automatic identification method exhibits application value in geological prospecting and mineral researches.
Description
technical field [0001] The invention relates to a method for identifying objects by using images, in particular to an automatic identification method for granite microscopic slices. The method aims at the high cost of manual identification of rock microscopic slices, and uses information processing technology to realize automatic identification of granite thin slices. 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. Existing identification of rock thin sections is mostly manual, which is time-consuming and laborious, and relies too much on personal experience, which cannot be repeated. Granite is an igneous rock formed by the condensation of magma below the surface and is widely used as a building material and carved stone. Existing identification of rock thin sections is mostly manual, which not only requires professional identif...
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IPC IPC(8): G06K9/00G06K9/62
Inventor 顾庆郝慧珍汪丹茹胡修棉陈道蓄
Owner 南京大学镇江高新技术研究院