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A digital image is a mathematical dataset of a 2D function. It is a raster image represented by pixels [1]. To process digital image analytics, we have to develop numerical values describing discrete elements of the image. This numerical analysis may be further performed by a machine. The conversion of image data (big data) to 2D representation (F(x,y)) will be executed to reflect the original intensity of the image [2]. The execution of image analytics is extensively practical. Many places comprehend how to separate value from image data to construct different knowledge sources in traffic analysis, computer network security and transportation safety [3]. Vasanth and Nataraj [4] are curious to recognize facial actions and features from images in computer vision. It can be applicable for real-time video to match with recorded face images (image recognition). The research helps make image analytics happen due to deep learning application, big data analytics and matured technology.
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Chanintorn Jittawiriyanukoon (2020) studied this question.
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