MATLAB Implementation of Vehicle Detection Methods
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Vehicle detection methods are techniques used to identify and detect vehicles on roads. Background subtraction is a common image processing method employed to extract foreground objects from image sequences through MATLAB functions like imabsdiff() for calculating absolute differences between current and reference frames. Image preprocessing serves as a crucial step in image processing to enhance image quality and detection accuracy, typically involving operations such as noise reduction using imgaussfilt() for Gaussian filtering and contrast adjustment via imadjust(). Mathematical morphology processing involves shape-based mathematical operations applied to extract and modify specific image objects, implemented using MATLAB's imopen() for opening operations and imclose() for closing operations to remove noise and fill gaps in vehicle contours.
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