Abstract
Shadow detection is the most important aspect in the field of image processing. It has become essential to develop such algorithms that are capable of processing the images with the maximum efficiency. Therefore, the research has aimed to propose an algorithm that effectively processes the image on the basis of shadow reduction. An algorithm has been proposed, which was based on RGB (red, green, and blue) and HIS (hue, saturation and intensity) model. Steps for Shadow detection have been defined. Median filter and colour saturation have been widely used to process the outcomes. Algorithm has proved efficient for the detection of shadow from the images. It was found efficient when compared with two previously developed algorithms. 87% efficiency has been observed, implementing the proposed algorithm as compared to the algorithms implemented previously by other researchers. The study proved to make a supportive effort in the development of optimized algorithm. It has been suggested that the market requires such practices that can be used to improve the working conditions of the image processing paradigm.
Highlights
Digital signal processing is a field, which comprises of data image processing as it has many benefits over analogy image processing
In order to prove that the algorithm is capable of removing the shadow, the image has been tested from the processed image
The models confirmed that the newly derived algorithm has been highly effective in detecting the shadow that is mentioned in the picture
Summary
Digital signal processing is a field, which comprises of data image processing as it has many benefits over analogy image processing. It allows broad range of algorithms to be implemented to the input information and can prevent problems; such as, the noise creation and signal distortion during processing [1]. A digital image is made up of a predetermined number of elements; including, picture element, image element, and pixels [2]. The elements of the digital image are usually termed as pixel. Digital image processing embraces an extensive and diverse field of applications. Under the strict decorum of the digital image processing and the computer aided peripherals, the image transformation and development have made it into the physical domains to smoothen the procedural flows of the paradigm [3]-[4]
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