Features of Urban Architecture Design based on ZYNQ Embedded Digital Image Processing

Abstract The city is excellent modern buildings are an excellent historical and cultural heritage, and its conservation studies include two important things: standard-setting and protection and management strategies. With the embedded digital image processing is becoming an important part of our lives, and image processing has reached its level. These systems have created many applications, such as processing in the field of image filtering and image processing. System implementation is completed with the low-cost Zed Board Zynq Seven thousand Field Programmable Gate Arrays (FPGA) and Raspberry-Pi. After various image processing filters, the output will be the input image. Get a Gaussian filter, a sharpening filter, and an average filter and display these results on your Video Graphics Array (VGA) monitor. Edge detection and grayscale operations are performed on Lena's image. Chip usage is detected. Using grid-based models and software algorithms derived from image processing, effective methods have been developed to measure geometric parameters and predict radiation exchange. The proposed system is generating synthetic urban textures and integrating cellular automata. The results show that a grid-based city model can provide information for planning and design. This system accelerates the detection of lung and lung disease and can be used as a single procedure or as part of other biomedical imaging systems. Image processing systems rely on bilateral filtration, edge recognition, multi-limits, image separation, text image processing, and image labeling.