Publicatii recente
Tag: invatare automata
-
A four-phase meta-heuristic algorithm for solving large scale instances of the Shift minimization personnel task scheduling problem (2018)
Abstract The Shift minimization personnel task scheduling problem (SMPTSP) is a known NP-hard problem. The present paper introduces a novel four-phase meta-heuristic approach for solving the Shift minimization personnel task […]
-
Unsupervised and Fully Autonomous 3D Medical Image Segmentation based on Grow Cut (2018)
Abstract Extending and optimizing cellular automata to handle 3D volume segmentation is a non-trivial task. First, it does not suffice to simply alter the cell neighborhood (be it von Neumann […]
-
Evolving Cellular Automata for Two stage Edge Detection (2018)
Abstract This paper presents an edge detection method based on Cellular Automata where the rules are evolved to optimize the edge detection in binary images. This method divides the edge […]
-
Dynamic Autonomous Image Segmentation based on GrowCut (2018)
Abstract The main incentive of this paper is to provide an enhanced approach for 2D medical image segmentation based on the Unsupervised Grow Cut algorithm, a method that requires no […]
-
Hybrid topology in GrowCut algorithm (2017)
Abstract This paper presents the results obtained by investigating a new hybrid topology for the GrowCut algorithm. The main purpose is to study whether choosing neighbors situated at a certain […]
-
Avenues for the Use of Cellular Automata In Image Processing (2017)
Abstract The majority of Cellular Automata (CA) described in the literature are binary or three-state. While several abstractions are possible to generalise to more than three states, only a negligible […]
-
The Use of Simple Cellular Automata in Image Processing (2017)
Abstract Cellular Automata have been considered for a series of applications among which several image processing tasks. The goal of this paper is to investigate such existing methods, supporting the […]
-
Parameterized Cellular Automata in Image Segmentation (2016)
Abstract This paper investigates a novel update rule for multi-state Cellular Automata (CA) in the context of greyscale image segmentation. The update rule is parameterized and takes into account the […]
-
Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes (2016)
Abstract Traffic scene object detection and recognition is extensively researched in the field of roadside assistance. Due to its importance, many methods have been proposed to solve the classification of […]
-
Exploring Various Neighborhoods in Cellular Automata for Image Segmentation (2016)
Abstract This paper presents the first results obtained by exploring different neighborhoods in two-dimensional Cellular Automata applied for the difficult task of automatic image segmentation. Numerical experiments have been performed […]
Proiecte recente
Evenimente