Purpose: To measure retinal vascular caliber by image segmentation with training based on color image segmentation using Mahalanobis distance function. Method: cross-sectional observational study with 20 eyes of 10 normal individuals. Fundus photographs were captured and processed for target feature segmentation using MATLAB R2008 a. Data matrices for all the classes were built followed by calc...

The Mahalanobis-Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. This paper presents a comparison of the Mahalanobis-Taguchi System and a standard statistical technique for defect detection ...

Video has become an important element of multimedia computing and communication environments, with applications as varied as broadcasting, education, publishing and military intelligence. In Video Retrieval system, each video that is stored in the database has its features extracted and compared to the features of the query image. Proposed work is to retrieve video from the database by giving q...

This paper presents a precise system for handwritten Chinese and Japanese character recognition. Before extracting directional element feature (DEF) from each character image, transformation based on partial inclination detection (TPID) is used to reduce undesired effects of degraded images. In the recognition process, city block distance with deviation (CBDD) and asymmetric Mahalanobis distanc...

Aim: To detect pathological brain conditions early is a core procedure for patients so as to have enough time for treatment. Traditional manual detection is either cumbersome, or expensive, or time-consuming. We aim to offer a system that can automatically identify pathological brain images in this paper. Method: We propose a novel image feature, viz., Fractional Fourier Entropy (FRFE), which i...

• ANN-based methodology for damage detection in wind turbine blades. Minimising the number of outliers robust detection. Learning relationships between sensitive features and novelty indices. Mitigating environmental operational variabilities This study presents a novel artificial neural network (ANN) based within vibration-based structural health monitoring framework The establishes nonlinear ...

Local feature matching is an essential component of many image retrieval algorithms. Euclidean and Mahalanobis distances are mostly used in order to compare two feature vectors. The first distance does not give satisfactory results in many cases and is inappropriate in the typical case where the components of the feature vector are incommensurable, whereas the second one requires training data....

In this article, we address the problem of thistle detection in sugar beet fields under natural, outdoor conditions. In our experiments, we used a commercial color camera and extracted vegetation indices from the images. A total of 474 field images of sugar beet and thistles were collected and divided into six different groups based on illumination, scale and age. The feature set was made up of...

to assess the genetic diversity for morphological and agronomic traits in iranian oriental tobacco germplasm,100 oriental and semi-oriental tobacco genotypes from the urmieh tobacco research center collection were evaluated in the field using a simple square lattice design with two replications. some agronomic traits were measured on five randomly selected plants in each plot. genotypes were cl...