Search Results for author:
Found 15 papers, 1 papers with code
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.
An improved computer vision method for detecting white blood cells
This paper presents an algorithm for the automatic detection of WBC embedded into complicated and cluttered smear images that considers the complete process as a multi-ellipse detection problem.
Multi Circle Detection on Images Using Artificial Bee Colony (ABC) Optimization
Unlike the original ABC algorithm, the proposed approach presents the addition of a memory for discarded solutions.
A multilevel thresholding algorithm using Electromagnetism Optimization
Such samples build each particle in the EMO context whereas its quality is evaluated considering the objective that is function employed by the Otsu or Kapur method.
A swarm optimization algorithm inspired in the behavior of the social-spider
In the proposed algorithm, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony.
Circle detection using electro-magnetism optimization
The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.
Circle detection using Discrete Differential Evolution Optimization
Experimental results on several synthetic and natural images with varying range of complexity validate the efficiency of the proposed technique considering accuracy, speed, and robustness.
Seeking multi-thresholds for image segmentation with Learning Automata
In this approach, one 1D histogram of a given image is approximated through a Gaussian mixture model whose parameters are calculated using the LA algorithm.
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.
Circle detection by Harmony Search Optimization
Guided by the values of this objective function, the set of encoded candidate circles are evolved using the HSA so that they can fit to the actual circles on the edge map of the image (optimal harmony).
Robust Fuzzy corner detector
Reliable corner detection is an important task in determining the shape of different regions within an image.
Fast algorithm for Multiple-Circle detection on images using Learning Automata
The detection process is considered as a multi-modal optimization problem, allowing the detection of multiple circular shapes through only one optimization procedure.
Circle detection on images using Learning Automata
Guided by the values of such reinforcement signal, the probability set of the encoded candidate circles is modified through the LA algorithm so that they can fit to the actual circles on the edge map.
Multi-ellipses detection on images inspired by collective animal behavior
This paper presents a novel and effective technique for extracting multiple ellipses from an image.
Opposition Based ElectromagnetismLike for Global Optimization
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions.
