Publicatii recente
Tag: calcul inspirat de natura
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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 […]
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Requirement Dependencies–based Formal Approach for Test Case Prioritization in Regression Testing (2017)
Abstract Regression testing is the testing activity performed after changes occurred on software. Its aim is to increase confidence that achieved software adjustments have no negative impact on the already […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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Investigation of Cellular Automata Neighbourhoods in Image Segmentation (2016)
Abstract Cellular Automata (CA) can be successfully applied to the task of image segmentation. The CA-based GrowCut algorithm is able to perform such a task and we aim to investigate […]
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Support Vector Machine and Boosting based Multiclass Classification for Traffic Scene Obstacles (2016)
Abstract Multiclass classification is an extensively researched topic due to its importance in making the binary classification problems a complex and well tuned system and minimising the running time for […]
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