Results 291 to 300 of about 6,313,537 (354)

Edge Detection Imaging by Quasi-Bound States in the Continuum.

Nano letters (Print)
Optical metasurfaces have revolutionized analog computing and image processing at subwavelength scales with faster speed and lower power consumption. They typically involve spatial differentiation with an engineered angular dispersion. Quasi-bound states
Tingting Liu, Jumin Qiu, Lei Xu, M. Qin, Lipeng Wan, Tianbao Yu, Qiegen Liu, Lujun Huang, Shuyuan Xiao   +8 more
semanticscholar   +1 more source

BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Exploiting multi-scale representations is critical to improve edge detection for objects at different scales. To extract edges at dramatically different scales, we propose a bi-directional cascade network (BDCN) architecture, where an individual layer is
Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang   +4 more
semanticscholar   +1 more source

JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

European Conference on Computer Vision, 2020
Semantic segmentation and semantic edge detection can be seen as two dual problems with close relationships in computer vision. Despite the fast evolution of learning-based 3D semantic segmentation methods, little attention has been drawn to the learning
Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-Lan Tai   +4 more
semanticscholar   +1 more source

Fuzzy based image edge detection algorithm for blood vessel detection in retinal images

Applied Soft Computing, 2020
We developed a contour detection based image processing algorithm based on Mamdani (Type-2) fuzzy rules for detection of blood vessels in retinal fundus images.
Farid Orujov, R. Maskeliūnas, Robertas Damasevicius, W. Wei   +3 more
semanticscholar   +1 more source

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

arXiv.org
This paper introduces Grounding DINO 1.5, a suite of advanced open-set object detection models developed by IDEA Research, which aims to advance the"Edge"of open-set object detection.
Tianhe Ren, Qing Jiang, Shilong Liu, Zhaoyang Zeng, Wenlong Liu, Han Gao, Hongjie Huang, Zhengyu Ma, Xiaoke Jiang, Yihao Chen, Yuda Xiong, Hao Zhang, Feng Li, Peijun Tang, Kent Yu, Lei Zhang   +15 more
semanticscholar   +1 more source

Optimum edge detection filter

Applied Optics, 1977
Edge detection and enhancement are required in a number of important image processing applications. In this paper we consider the problem of optimizing spatial frequency domain filters for detecting a class of edges in images. The filter is optimum in that it produces maximum energy in the vicinity of the location of the edge for a given spatial ...
F M, Dickey, K S, Shanmugam
openaire   +2 more sources

A new high resolution filter for source edge detection of potential field data

Geocarto International, 2020
Determining the source edges is a frequently requested task in the analysis of potential fields. However, the edge detection methods have some drawbacks or shortcomings, for example, blurred responses to weak amplitude anomalies, the estimated peaks over
L. Pham, A. Eldosouky, E. Oksum, S. Saada   +3 more
semanticscholar   +1 more source

Edge detection in textures

Computer Graphics and Image Processing, 1980
Publisher Summary This chapter discusses the problem of detecting edges in cellular textures. Detecting edges is an important first step in the solution of many image analysis tasks. Edges are used primarily to aid in the segmentation of an image into meaningful regions, but they are also extensively used to compute relatively local measures of ...
LARRY S. DAVIS, AMAR MITICHE
openaire   +1 more source

Improved Codebook Edge Detection

Graphical Models and Image Processing, 1995
Abstract A technique for detecting edges directly from a vector-quantized image representation, called codebook edge detection was proposed by Mclean (CVGIP: Graphical Models Image Process. 55, 1993, 48-57). With this method, the edges can be detected by a simple table lookup, a so-called "edge codebook." In this paper, we propose an improved method ...
Zhou, Jie, Peng, Jiaxiong, Ding, Mingyue
openaire   +1 more source

Detection of composite edges

IEEE Transactions on Image Processing, 1994
The paper presents a new parametric model-based approach to high-precision composite edge detection using orthogonal Zernike moment-based operators. It deals with two types of composite edges: (a) generalized step and (b) pulse/staircase edges. A 2-D generalized step edge is modeled in terms of five parameters: two gradients on two sides of the edge ...
S, Ghosal, R, Mehrotra
openaire   +2 more sources