Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/693 2019 2019 Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, 62511, Egypt Ahmed A. Elngar Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni-Suef University of Computers and Artificial Intelligence, Egypt Mohamed Arafa Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni-Suef University of Computers and Artificial Intelligence, Egypt Mustafa Marouf Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni-Suef University of Computers and Artificial Intelligence, Egypt Mahmoud Ahmed Department of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt, Nehal Fawzy   Feature detection, description and matching are essential components of various computer vision applications; thus, they have received a considerable attention in the last decades. Several feature detectors and descriptors have been proposed in the literature with a variety of definitions for what kind of points in an image is potentially interesting (i.e., a distinctive attribute). This chapter introduces basic notation and mathematical concepts for detecting and describing image features. Then, it discusses properties of perfect features and gives an overview of various existing detection and description methods. Furthermore, it explains some approaches to feature matching. Finally, the chapter discusses the most used techniques for performance evaluation of detection algorithms.   2021 2021 51 64 10.54216/JCIM.060103 https://www.americaspg.com/articleinfo/2/show/693