Abstract
Abstract The edges of the image play an important role in digital image processing and artificial vision. Frames reduce the amount of data, extract useful information from the image and preserve the essential structural properties of the input image. These edges can also be used to identify objects and facial expressions. Recently there have been various methods of evaluating the detection of the edges of the image. Many measure the similarity of a reference images. The researchers tried to automate the detecting edge process using various images. As a result, numerous studies have been proposed to identify the images of various edge operators using various artificial intelligence techniques and meta-heuristic algorithms. A detailed survey was conducted to identify the various research articles available in the literature on all aspects of peripheral imaging and to analyze the main contributions and their benefits. Here, totally fifteen articles are fully discussed here. In addition, this study provides a detailed understanding of edge operator - based digital imaging.
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