Results 301 to 310 of about 6,313,537 (354)
Some of the next articles are maybe not open access.
International Journal of Pattern Recognition and Artificial Intelligence, 1998
The paper describes a technique called ISE for image segmentation using entropy. The relation between the entropy of an image domain and the entropy of its subdomains is explored as a uniformity predicate. Such entropy is obtained from the analysis of the image histogram associating a Gaussian distribution to the maximum frequency of gray levels.
Vitulano, S. +2 more
openaire +3 more sources
The paper describes a technique called ISE for image segmentation using entropy. The relation between the entropy of an image domain and the entropy of its subdomains is explored as a uniformity predicate. Such entropy is obtained from the analysis of the image histogram associating a Gaussian distribution to the maximum frequency of gray levels.
Vitulano, S. +2 more
openaire +3 more sources
EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection
International Journal of Computer Vision, 2019Recently, leveraging on the development of end-to-end convolutional neural networks, deep stereo matching networks have achieved remarkable performance far exceeding traditional approaches.
Xiao Song +4 more
semanticscholar +1 more source
Edge Detection Using Guided Sobel Image Filtering
Wireless personal communications, 2023R. Ranjan, Vinay Avasthi
semanticscholar +1 more source
Information Management & Computer Security, 2007
PurposeThis paper seeks to describe the use of edge‐detection as an approach to support the process of analyzing visual scenes.Design/methodology/approachEdges‐detection is considered as a KM technique task. Several edge‐detection algorithms were discussed but Canny method was chosen in conjunction with JAVA to find the edges of an image.FindingsThe ...
O. Folorunso, O.R. Vincent, B.M. Dansu
openaire +1 more source
PurposeThis paper seeks to describe the use of edge‐detection as an approach to support the process of analyzing visual scenes.Design/methodology/approachEdges‐detection is considered as a KM technique task. Several edge‐detection algorithms were discussed but Canny method was chosen in conjunction with JAVA to find the edges of an image.FindingsThe ...
O. Folorunso, O.R. Vincent, B.M. Dansu
openaire +1 more source
Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence
International Journal of Fuzzy Systems, 2021M. Versaci, F. Morabito
semanticscholar +1 more source
Edge Detection and Edge Images
1995This chapter gives a summary of edge detection methods in gray-level images based on [Bru90]. We also introduce unions and bit-fields in C++.
Dietrich W. R. Paulus, Joachim Hornegger
openaire +1 more source
Edge detection on noisy images using Prewitt operator and fractional order differentiation
Multimedia tools and applications, 2022S. Balochian, Hossein Baloochian
semanticscholar +1 more source
Object detection and recognition using contour based edge detection and fast R-CNN
Multimedia tools and applications, 2022S. Rani, D. Ghai, Sandeep Kumar
semanticscholar +1 more source
Edge detection and motion detection
Image and Vision Computing, 1986Abstract This paper presents an integrated theory of edge detection, curvature measurement and motion detection during the earliest stages of visual processing. No assumptions are necessary about the viewed objects or about surface properties and the viewing geometry.
openaire +1 more source
Zero Trust Architecture Empowered Attack Detection Framework to Secure 6G Edge Computing
IEEE NetworkRecent advances in edge computing and its imminent adoption in Sixth Generation (6G) wireless networks have led to a propitious paradigm defined as 6G edge computing.
Hichem Sedjelmaci, Nirwan Ansari
semanticscholar +1 more source