Which is the best way to organize/classify images by content?
نویسندگان
چکیده
Thousands of images are generated every day, which implies the necessity to classify, organise and access them using an easy, faster and efficient way. Scene classification, the classification of images into semantic categories (e.g. coast, mountains and streets), is a challenging and important problem nowadays. Many different approaches concerning scene classification have been proposed in the last few years. This article presents a detailed review of some of the most commonly used scene classification approaches. Furthermore, the surveyed techniques have been tested and their accuracy evaluated. Comparative results are shown and discussed giving the advantages and disadvantages of each methodology. 2006 Elsevier B.V. All rights reserved.
منابع مشابه
Document Analysis And Classification Based On Passing Window
In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...
متن کاملVolumetric soil moisture estimation using Sentinel 1 and 2 satellite images
Surface soil moisture is an important variable that plays a crucial role in the management of water and soil resources. Estimating this parameter is one of the important applications of remote sensing. One of the remote sensing techniques for precise estimation of this parameter is data-driven models. In this study, volumetric soil moisture content was estimated using data-driven models, suppor...
متن کاملDetermining Area Affected by Dust Storms in Different Wind Speeds, Using Satellite Images
The aim of this study is to determine the area affected by dust storms in different wind speeds using satelliteimages. In the first step, windy conditions of the Sistan plain were analyzed using wind statistics data. Next, fivestormy days of Zabol city, indicating different wind speeds and horizontal visibilities during those storms, wereselected. Then, high temporal resolution MODIS data was u...
متن کاملWorking with Men to Prevent Violence Against Women: Program Modalities and Formats
In Part One of this paper an overview was provided of men’s role in prevention along with effective strategies for ending men’s violence against women, and the importance of creating culturally relevant programs that address all of men’s identities was presented. The discussion is continued in this document by providing an overview of best practices in prevention, the content and format of men’...
متن کاملLocal Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Image Vision Comput.
دوره 25 شماره
صفحات -
تاریخ انتشار 2007