Content Based Image Indexing and Retrieval
نویسندگان
چکیده
In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process. For efficient feature extraction, we extract the color, texture and shape feature of images automatically using edge detection which is widely used in signal processing and image compression. For facilitated the speedy retrieval we are implements the antipole-tree algorithm for indexing the images.
منابع مشابه
Content Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملتأملاتی بر نمایه سازی تصاویر: یک تصویر ارزشی برابر با هزار واژه
Purpose: This paper presents various image indexing techniques and discusses their advantages and limitations. Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Findings: Concept-based image indexing is te...
متن کاملیک روش مبتنی بر خوشهبندی سلسلهمراتبی تقسیمکننده جهت شاخصگذاری اطلاعات تصویری
It is conventional to use multi-dimensional indexing structures to accelerate search operations in content-based image retrieval systems. Many efforts have been done in order to develop multi-dimensional indexing structures so far. In most practical applications of image retrieval, high-dimensional feature vectors are required, but current multi-dimensional indexing structures lose their effici...
متن کاملA Comparing between the impacts of text based indexing and folksonomy on ranking of images search via Google search engine
Background and Aim: The purpose of this study was to compare the impact of text based indexing and folksonomy in image retrieval via Google search engine. Methods: This study used experimental method. The sample is 30 images extracted from the book “Gray anatomy”. The research was carried out in 4 stages; in the first stage, images were uploaded to an “Instagram” account so the images are tagge...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملMetric Indexing for Content-Based Medical Image Retrieval
The paper proposes an indexing method for fast content-based retrieval in an image repository. The method is based on a metric-indexing strategy that avoids to calculate the distance from the query to all the images in the repository. The proposed indexing method is tested on a pathology image collection comparing its performance against sequential scaning indexing. The results show that the me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1401.1742 شماره
صفحات -
تاریخ انتشار 2013