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What is Image Analysis

Applications of Machine Learning and Artificial Intelligence in Education
The image analysis is a process of extracting meaningful information from the digital image. The process incorporates simple image analysis as reading bar coded tags or as sophisticated as identifying different objects from the image. The CNN is an example of image analysis.
Published in Chapter:
Deep Learning in Instructional Analysis, Design, Development, Implementation, and Evaluation (ADDIE)
Mahbubur Rahman (North American University, USA) and Mustafa Duran (North American University, USA)
DOI: 10.4018/978-1-7998-7776-9.ch005
Abstract
The authors emphasize the application scope of the deep learning (DL) technologies in the instructional analysis, design, development, implementation, and evaluation of the educational tools that can enhance the 21st-century modes and models of learning and instruction. The latest trend in the remote learning systems opens a wonderful opportunity for the DL technologies to be integrated with these systems that can impact the way of learning, teaching, design, and development of such systems. The DL technologies provide the data driven decisions and analytical outcomes that can be integrated with the educational technologies. The existing educational technologies and remote learning systems lack in such integrated DL services that can impact the overall education learning systems of the 21st century. The learners and instructors can also benefit from such DL-integrated educational tools. The authors expand further details on the application and implication of the DL services mentioned above in the chapter.
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Multi-Criteria Decision-Making Techniques for Histopathological Image Classification
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A Study of Image Engineering
One of three layers of image engineering, which is concerned with the extraction of information (by meaningful measurements with descriptive parameters) from an image (especially from interesting objects).
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Particle Swarm Optimization and Image Analysis
Collection of techniques by which high-level information content is extracted from a digital image using image processing and computer vision techniques.
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An Advanced Approach to Detect Edges of Digital Images for Image Segmentation
It is the process by which useful information are extracted from an image and interpreted for further application.
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