Geographic Image Classification Considering on Texture Features by GLCM

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

Comparative Study on Content Based Image Retrieval Based on Color, Texture (GLCM & CCM) Features

With the rapid development of multimedia and network technology, people can access a large number of multimedia information. For people who want to make full use of multimedia information resources, the primary question is how to query the multimedia information of interest. Text query can be applied to multimedia information retrieval, but it has inherent deficiencies. One hand, text annotatio...

متن کامل

Mammography Image Classification Using Texture Features

Mammography image classification is a very important research field due to its implementation domain. The aim of this paper is propose techniques for automation of the mammography image classification process. This requires the images to be described using feature extraction algorithms and then classified using machine learning algorithms. In that context, the goal is to find which combination ...

متن کامل

Dynamic texture and scene classification by transferring deep image features

Dynamic texture and scene classification are two fundamental problems in understanding natural video content. Extracting robust and effective features is a crucial step towards solving these problems. However the existing approaches suffer from the sensitivity to either varying illumination, or viewpoint changing, or even camera motion, and/or the lack of spatial information. Inspired by the su...

متن کامل

Texture Based Image Retrieval Using GLCM and Image Sub-Block

This study proposed an approach to retrieve images based on texture features using GLCM and image subblocks. Each image is divided into three rows and three columns with equal sizes. Texture features are extracted based on GLCM (Gray Level Co-occurrence Matrix) using four statistical features that is contrast, homogeneity, energy and correlation. The features are calculated in four directions (...

متن کامل

Digital Image Forgery Detection Based on GLCM and HOG Features

Millions of digital documents are produced day by day. With the availability of powerful computers and advanced photo editing softwares, the manipulation of digital images become very easy. For decades photographs are used as evidence in courts, but the increased use of computer graphics and image processing techniques undermines the trust in photographs. The driving forces of forgery detection...

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: Communications on Applied Electronics

سال: 2016

ISSN: 2394-4714

DOI: 10.5120/cae2016652298