Machine Vision Application on Science and Industry: Machine Vision Trends

Introduction

Machine vision studies open a great opportunity for different domains as manufacturing, agriculture, aquaculture, medical research, also research studies and applications for a better understanding of its processes and operations. As scientists efforts had been and still directed towards the understanding of materials, systems or/and specific classes of types of fruits, or diagnosis of patients through medical images classification, and analysis, and also real-time detection and inspection of malfunction piece, or process, as various domains witnessed advancement through using machine vision techniques and methods. Researchers in material sciences achieved very important findings in understanding and analyzing microstructural images, as the aim is to produce a common method to extract meaningful features regarding micrographs. Also image analysis main aim is to extract meaningful data included in images to be analyzed, the image analysis contains many processes including image registration and image fusion, image registration uses two images, the first one is called the reference image, while the second one called the sensed image, the sensed image is aligned to the reference image, the result or output of this process is used in another process is called image fusion, image fusion is the process of combining the data contained in two images in one image, as the resulting image will be more informative than the input images, mentioned processes, image registration, and image fusion are very helpful in many practical and application domains, as industrial, medical, aquaculture, and agriculture and other areas that use machine vision technologies and applications (DeCost, 2015;El-Gamal, 2016;Saberioon, 2016;Benalia, 2016).