An improved sobel edge detection method based on generalized type-2 fuzzy logic
Edge detectors have traditionally been an essential part of many computer vision systems.
There are different methods that have been proposed for improving edge detection in real …
There are different methods that have been proposed for improving edge detection in real …
[图书][B] Real life applications of soft computing
Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …
valuable in the development of highly scalable systems. Although many resources on the …
Interval type-2 fuzzy logic and modular neural networks for face recognition applications
In this paper we present a method for response integration in multi-net neural systems using
interval type-2 fuzzy logic and fuzzy integrals, with the purpose of improving the performance …
interval type-2 fuzzy logic and fuzzy integrals, with the purpose of improving the performance …
A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral
In this paper, a hybrid approach for image recognition combining type-2 fuzzy logic, modular
neural networks and the Sugeno integral is described. Interval type-2 fuzzy inference …
neural networks and the Sugeno integral is described. Interval type-2 fuzzy inference …
[PDF][PDF] Fuzzy logic based image edge detection algorithm in MATLAB
EK Kaur, V Mutenja, IS Gill - International Journal of Computer …, 2010 - academia.edu
This paper reports the implementation, in MATLAB environment, of a very simple but efficient
fuzzy logic based algorithm to detect the edges of an input image by scanning it throughout …
fuzzy logic based algorithm to detect the edges of an input image by scanning it throughout …
A new fuzzy approach for edge detection
Y Becerikli, TM Karan - International Work-Conference on Artificial Neural …, 2005 - Springer
An edge detection is one of the most important tasks in image processing. Image
segmentation, registration and identification are based on edge detection. In the literature …
segmentation, registration and identification are based on edge detection. In the literature …
An improved object detection algorithm based on the Hessian matrix and conformable derivative
JE Lavín-Delgado, JE Solís-Pérez… - Circuits, Systems, and …, 2024 - Springer
In this paper, a newfangled technique for edge detection that combines the Khalil
conformable derivative and the Hessian matrix is developed and experimentally validated …
conformable derivative and the Hessian matrix is developed and experimentally validated …
A new method for edge detection in image processing using interval type-2 fuzzy logic
Edges detection in digital images is a problem that has been solved by means of the
application of different techniques from digital signal processing. Also the combination of …
application of different techniques from digital signal processing. Also the combination of …
Effective segmentation for dental X-ray images using texture-based fuzzy inference system
YH Lai, PL Lin - Advanced Concepts for Intelligent Vision Systems: 10th …, 2008 - Springer
In teeth-related radiograph research, the information of teeth shape is the most critical factor
for achieving highly automated diagnosis. Therefore, accurate segmentation is an essential …
for achieving highly automated diagnosis. Therefore, accurate segmentation is an essential …
Interval type‐2 fuzzy logic for edges detection in digital images
Edges detection in a digital image is the first step in an image recognition system. In this
paper, we show an efficient edges detector using an interval type‐2 fuzzy inference system …
paper, we show an efficient edges detector using an interval type‐2 fuzzy inference system …