An Improved K-view Algorithm for Texture Classification Using Voting Method

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Improved K-view Algorithm for Texture Classification Using Voting Method

Texture is an important characteristic of images. Image texture classification is widely used in many applications, such as detection of industry product, document class, and digital image processing of remote sensing and so on. Several K-View based algorithms have been proposed for image texture classification. This study proposed an improved k-view algorithm for texture classification using v...

متن کامل

A Combinatorial K-View Based algorithm for Texture Classification

Image texture classification is widely used in many applications and received considerable attention during the past decades. Several efforts have been made for developing image texture classification algorithms, including the Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns and several K-View based algorithms. These K-View based algorithms included are K-ViewTemplate algorithm (K-...

متن کامل

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

متن کامل

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

متن کامل

An Improved k-Nearest Neighbor Classification Using Genetic Algorithm

k-Nearest Neighbor (KNN) is one of the most popular algorithms for pattern recognition. Many researchers have found that the KNN algorithm accomplishes very good performance in their experiments on different data sets. The traditional KNN text classification algorithm has three limitations: (i) calculation complexity due to the usage of all the training samples for classification, (ii) the perf...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The Open Automation and Control Systems Journal

سال: 2014

ISSN: 1874-4443

DOI: 10.2174/1874444301406012018