چکیده مقاله
One of the main factors in the quality grading of building stones is porosity amount On the other hand, the strength coefficient of the facade of the building against rain and freezing is also highly dependent on this factor Currently, estimation of porosity and quality grading of stone in most stone cutting factories is done visually and by workers familiar with the work This process is time consuming and expensive for most factories Therefore, in this article, a method for estimating the amount of porosity in building stones based on image processing techniques is presented In this method, after taking a photo of the desired stone, the texture analysis algorithm is implemented on the image and finally a binary image is obtained in which the porous parts are separated from the healthy parts In the resulting image, with the help of the surface comparison equation, the porosity of the stone can be calculated in terms of percentage In the results section, this method has been tested on several models of building stones and its accuracy has been calculated Among the advantages of the method, we can mention the low computational complexity, high execution speed and compatibility with most rock models
کلیدواژهها
نویسندگان
Hossein Hadipour Sanati
Faculty of computer engineering,Najafabad branch, Islamic Azad University,Najafabad, Iran
Alireza Nikian
Faculty of computer engineering,Najafabad branch, Islamic Azad University,Najafabad, Iran
شیوه ارجاع
Hadipour Sanati, Hossein and Nikian, Alireza,1401,Intelligent system for estimating porosity in building stones based on image processing and machine vision techniques,Second International Conference on Computer Engineering and Science,Najafabad
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی مهندسی و علوم کامپیوتر29 آذر 1401 · نجف آباد