This paper presents a variation of fuzzy c-means (FCM) algorithm that provides image clustering. The proposed incorporates the local spatial information and gray level in novel way. new is called C-Means (FLICM). FLICM can overcome disadvantages known algorithms at same time enhances clustering performance. major characteristic use (both level) similarity measure, aiming to guarantee noise insensitiveness detail preservation. Furthermore, fully free empirically adjusted parameters (a, ¿(g),...

The use of clustering algorithms for decision-level data fusion is proposed. Person authentication results coming from several modalities (e.g., still image, speech), are combined by using fuzzy k-means (FKM) and vector quantization (FVQ) algorithms, a median radial basis function (MRBF) network. quality measure the used fuzzification. Two modifications FKM FVQ based on distance definition, proposed to handle utilize measure. Simulations show that have better performance compared classical...

This paper presents a novel fast model for active contours to detect objects in an image, based on techniques of curve evolution. The proposed can whose boundaries are not necessarily defined by gradient, the minimization fuzzy energy, which be seen as particular case minimal partition problem. energy is used motivation power evolving contour, will stop desired object boundary. However, stopping term does depend gradient most classical contours, but instead related image color and spatial...

This paper aims to define a model for measuring the localness of company in an innovative and reliable way, motivated by growing consumer interest purchasing local products supporting economies. The proposed Expenses Localness Indicators (ELI) uses existing data from information systems Indicators, incorporates Levels based on geographic economic criteria. It can be applied any type financial entity overcomes difficulty defining e-commerce companies or digital businesses general. Previous...

Businesses and organizations often struggle to cope in a rapidly changing competitive environment, requiring changes with increasing frequency complexity. The evolution of information systems has enabled direct access data, which can be utilized for the effective implementation changes. This usually requires managing resistance change, is presented by employees. aim this study address problem change management order limit decline overall performance during critical period accelerate change....

In this paper, the generalized fuzzy mathematical morphology (GFMM) is proposed, based on a novel definition of inclusion indicator (FII). FII set used as measure into another, that proposed to be set. It proven obeys axioms, which are extensions known axioms any should obey, and correspond desirable properties operation. The GFMM provides very powerful flexible tool for morphological operations. binary grayscale morphologies can considered special cases GFMM. An application robust...

In this paper, the morphological skeleton interpolation (MSI) algorithm is presented. It an efficient, shape-based method used for interpolating slices in a three-dimensional (3-D) binary object. based on skeletonization, which two-dimensional (2-D) slice representation. The proposed matching process provides translation, rotation, and scaling information at same time. interpolated preserve shape of original object slices, when have similar shapes. can also modify successive do not...

This paper presents a novel approach for object skeleton family extraction. The introduced technique utilizes 2-D physics-based deformable model that parameterizes the objects shape. Deformation equations are solved exploiting modal analysis, and proportional to physical characteristics, different is produced every time, generating, in this way, of skeletons. theoretical properties experiments presented demonstrate obtained skeletons match hand-labeled provided by human subjects, even...

This paper presents a new geometrical feature based on iris geometry for automatic children detection in digital images. The proposed is simple measures of face elements and especially iris. Iris outer boundary approximated as circle the defined using area distance from mouth line. approach compared with two similar features. Experimental results show superiority over existing ones. more robust to features that use information human faces gives better classification results, useful forensics...

Abstract Human pose estimation (HPE) is a computer vision application that estimates human body joints from images. It gives machines the capability to better understand interaction between humans and environment. For this accomplishment, many HPE methods have been deployed in robots, vehicles, unmanned aerial vehicles (UAVs). This effort raised challenge of balance algorithm performance efficiency, especially UAVs, where computational resources are limited for saving battery power. Despite...

This study presents a new approach for image clustering, which is based on novel workspace derived from the empirical mode decomposition (EMD). The proposed algorithm exploits EMD, can decompose any non-linear and non-stationary data into number of intrinsic functions (IMFs). intermediate IMFs histogram have very good characteristics provide robust that utilised in order to detect clusters an fast way. method was applied several images obtained results show clustering robustness low...

The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged task, this requires appropriate coordination strategies to be developed ensure safe, effective, and efficient operation. This paper a simulation study that demonstrates robust strategy for navigation two heterogeneous robots, where one is expert second helper vineyard. equipped with...

Randomized Hough transform (RHT) has been recently proposed as a new and efficient variation of the for curve detection. In this paper RHT is combined with fuzzy cell (FCHT) variation, randomized (RFCHT) proposed. The p-dimensional parameter space split into cells overlapped intervals confidence. are defined numbers. RFCHT selects p pixels from an edge image by random sampling solves parameters curve. Then accumulate to more than one cells, since adding value that belongs in interval [0, 1]...

A major disadvantage of image retrieval systems is their lack objects orientation and scaling matching. This paper addresses the issue accurate, effective, computationally efficient, fast fully-automated 2D object determination. The approach relies on frequency-based features. features used by proposed technique, are extracted a physics-based deformable model that parameterizes shape. method was evaluated synthetic real images. experimental results demonstrate accuracy method, both in estimations

In order to address environmental and climate change in a sustainable manner, it is necessary for corporations make commitments accordance with principles, which can be communicated through the use of indicators. Many indicator-based sustainability assessments neglect supply chain stages by reporting results incomplete misleading information. Indicators are sometimes manipulated benefit companies, strategy known as “greenwashing”. One method transfer non-sustainable activities one company...

In this paper a new variation of Hough transform is proposed. The parameter space Transform iteratively split into fuzzy cells which are defined as numbers. Each cell corresponds to curve in the spatial domain. After each iteration fuzziness reduced and curves estimated with better accuracy. uncertainty contour point location transferred gives accuracy estimation than classical transform, especially when noisy images have be used. Moreover, computation time significantly decreased, since...

This paper presents a novel method for measuring the localness of company in an innovative and reliable way, motivated by growing consumer interest purchasing local products supporting economies. The proposed Expenses Localness Indicators (ELI) model uses existing data from information systems to define Indicators, incorporates Levels based on geographic economic criteria. It can be applied any type financial entity overcomes difficulty defining e-commerce companies or digital businesses...