Abstract: This research tends to the development of urban lifestyle. We want to characterize the road standard of Dhaka by measuring the width of roads from an image and found the number of methodologies to perform object measurement. Though the study of the aesthetic characteristics of cities must go beyond concern only for the design of some of their parts such as “boulevards, parks, and civic centers. Identifying objects was contour tracing and a canny edge detection algorithm. Then the object is measured by generalizing the pixel mapping and finding output is matched with the street measurement. The implication in road data and establishing urban Planning prototypes does not exist. The measurement findings in this proposed methodology were then analyzed and based on some criteria the street aesthetics. This research work represents the whole procedure including road image acquisition, pre-processing the image, detecting the road, and measurement of the road from various camera distances. This research work ended up with an accuracy of 96% and we have tried to capture the images with a 90-degree view. We used is quite suitable for a cost-effective solution.
Keywords: Artificial Neural Network, Image Segmentation, Deep Learning, Computer Vision, Convolutional Network.
Title: Street width measurement for urban aesthetics identification in Bangladesh based on Computer Vision
Author: Tariqul Islam, Murad Kabir Md. Rakib, HIMANISH DEBNATH HIMU, Md Maruf Ibna Nasim Nishan, Ramim Hossain, Md. Muktar Ali, MD. Jalal Uddin Rumi Palak, Md. Ashikur Rahman, Ahnaf Tahmid Jamee, Md. Omar Faruq Fahim
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 11, Issue 1, January 2023 - March 2023
Page No: 42-51
Research Publish Journals
Website: www.researchpublish.com
Published Date: 18-February-2023
