In the present-day context, security has emerged as a matter of utmost significance, particularly for individuals and businesses striving to safeguard their assets and people. While conventional video surveillance systems have long been relied upon, they come with inherent limitations.
Segmentation is an essential step in computer vision, and the accuracy of this operation is critical in automatic pattern recognition for food image analysis. This is because pattern recognition is based on the data serving a large number of users. subsequently extracted from the segmentation process. Segmentation detects regions of interest inside the image, or structural features of the object, and can be achieved by three different techniques: thresholding, edge-based, and region-based