Improving the Quality of Urban Spaces through Image Processing, Case Study: 17th-Shahrivar Street of Tehran

Urban spaces are like a dramatic stage, in which buildings and street’s facades are the actors. While people are passing through streets, they will communicate the information with the environment, as well as, explore and study the spaces. People transfer the greatest number of information from the urban space and the surrounding environment through their visual senses. Hiking determines one of the main movement pattern in residential areas. Pedestrian urban spaces are for people on foot in which visual aspect is one of the most important aspect that sometime ignored by designers. The views of the pedestrian areas are the most important factors of the urban spaces which can be attractive or even boring. This research has investigated the organization of urban spaces and street improvement by using the image processing method. In order to test this procedure, 17th-Shahrivar pedestrian, placed in the east of Tehran, has been studied. The main method of research is descriptive-analytical. This method emphasis on analysis of visual aspect of the content and continues by image fixation and then using the image processing through effective parameters of the visual mechanism. In conclusion, through image processing method one can improve the quality of built environment as a pedestrian area and motivate people to walk and enjoy watching the surrounding elements of an urban spaces by highlighting some of the hidden visual features.