TRAFFIC CONTROL USING IMAGE PROCESSING
TRAFFIC CONTROL USING IMAGE PROCESSING
Embedded Files
This MATLAB code comprises several components for traffic control using image processing. It allows users to input a reference image and custom settings through a GUI window, displaying the image on a UIAxes object within a MATLAB app. The code reads a traffic image, converts it to grayscale, performs edge detection and filling, applies a mask, conducts morphological closing, executes blob analysis for vehicle detection, and displays the output by drawing bounding boxes around detected vehicles. Additionally, the code calculates the expected time for the traffic signal based on the number of detected vehicles and visually represents this information. Overall, the code provides a comprehensive solution for traffic management, leveraging MATLAB's image processing capabilities.
This MATLAB code comprises several components for traffic control using image processing. It allows users to input a reference image and custom settings through a GUI window, displaying the image on a UIAxes object within a MATLAB app. The code reads a traffic image, converts it to grayscale, performs edge detection and filling, applies a mask, conducts morphological closing, executes blob analysis for vehicle detection, and displays the output by drawing bounding boxes around detected vehicles. Additionally, the code calculates the expected time for the traffic signal based on the number of detected vehicles and visually represents this information. Overall, the code provides a comprehensive solution for traffic management, leveraging MATLAB's image processing capabilities.
User Interface
User Interface
Upload Ref image
Upload Ref image
Set Boundary
Set Boundary
Initial Settings
Initial Settings
Uploading images with traffic 1
Uploading images with traffic 1
Uploading images with traffic 2
Uploading images with traffic 2
Uploading images with traffic 3
Uploading images with traffic 3
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