نتایج جستجو برای: color system and feature vector

تعداد نتایج: 17179243  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1389

selective desulfurization of thiocarbonyls to carbonyls thioacetalization of aldehydes and ketones a useful reagent system for the dethioacetalization reactions

Journal: :CoRR 2013
Mohammad shahidul Islam

A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity difference. The facial area is divided into sub-regions and GDP histogram extracted from those regions are concatenated into a single vector to represent the face. The classification accuracy obtained by using support vector machine has outperforme...

2017

Content Based Image Retrieval is a technique which uses visual contents for searching images from large scale image databases Information extracted from images such as color, texture and shape are known as feature vectors. Using multiple feature vectors to describe an image during retrieval process increases the accuracy when compared to the retrieval using single feature vector. The objective ...

2008
Robert H. Luke James M. Keller Jesus Chamorro-Martinez

In recent years, Lowe’s Scale Invariant Feature Transform (SIFT) algorithm has become a widely used tool for object recognition. One shortcoming is that it only works on grayscale image intensities. In this paper, we propose extending the SIFT descriptor to also incorporate color information in a novel fashion. The keypoint descriptor proposed in this paper is a superset of the original feature...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده ریاضی 1389

one of the most important number sequences in mathematics is fibonacci sequence. fibonacci sequence except for mathematics is applied to other branches of science such as physics and arts. in fact, between anesthetics and this sequence there exists a wonderful relation. fibonacci sequence has an importance characteristic which is the golden number. in this thesis, the golden number is observed ...

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

2014
K. Prasanthi Rajesh Kumar

This paper presents the integration of color histogram and DBC co-occurrence matrix for content based image retrieval. The exit DBC collect the directional edges which are calculated by applying the first-order derivatives in 0o, 45o, 90o and 135o directions. The feature vector length of DBC for a particular direction is 512 which are more for image retrieval. To avoid this problem, we collect ...

Journal: :middle east journal of cancer 0
mohammad faranoush mahak pediatric cancer treatment and research center (mpctrc), tehran, iran mohammad torabi-nami school of advanced medical science and technologies, shiraz university of medical sciences, shiraz, iran azim mehrvar mahak pediatric cancer treatment and research center (mpctrc), tehran, iran amir abbas hedayatiasl mahak pediatric cancer treatment and research center (mpctrc), tehran, iran maryam tashvighi mahak pediatric cancer treatment and research center (mpctrc), tehran, iran reza ravan parsa islamic azad university, tehran, iran

background : labeling, gathering mutual information, clustering and classification of central nervous system tumors may assist in predicting not only distinct diagnoses based on tumor-specific features but also prognosis. this study evaluates the epidemi- ological features of central nervous system tumors in children who referred to mahak’s pediatric cancer treatment and research center in tehr...

The use of artificial intelligence in the process of diagnosing heart disease has been considered by researchers for many years. In this paper, an efficient method for selecting appropriate features extracted from electrocardiogram (ECG) signals, based on a genetic algorithm for use in an ensemble multi-kernel support vector machine classifiers, each of which is based on an optimized genetic al...

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