Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
It is a common experience to the web users with the existing search engines like Google, Yahoo, MSN, Ask, e.t.c., that the information related to the entered query returns a long ranked list of results (snippets). It becomes cumbersome to the user to go through each title, snippet and even sometimes link of the search results until relevant results are found to the query. Clustering of search results...
This study proposes an algorithm where edge shape information is retrieved using a vote based rearranged chain code. The proposed algorithm rearranges and normalizes the chain code of edges to create a maximum vote based normalization chain code whose correlativity is reinforced. As it obtains cyclical maximum values from the chain code, rearranges them and flips code values according to the frequency,...
Retrieval of near-duplicate image fragments is one of the most challenging problems is CBIR (content-based image retrieval). The objective is to identify almost the same fragments in random images of unpredictable contents. Such fragments usually represent identical object, though captured from a different viewpoint, under different photometric conditions and/or by a different camera. The paper presents...
Content-Based Image Retrieval technique uses three primitive features like color, texture and shape which play a vital role in image retrieval. This paper presents a novel framework using color and shape features by extracting the different components of an image using the Lab and HSV color spaces to retrieve the edge features. Invariant moments are then used to recognize the image. In this proposed...
The effectiveness of the content-based image retrieval can be enhanced using the heterogeneous features embedded in the images. However, since the features in color and shape are generated using different computation methods and thus may require different similarity measurements, the integration of the retrieval on heterogeneous features is a non-trivial task. In this paper, present a semantics-based...
Feature extraction is one of the most important issues for designing content-based image retrieval systems. In this paper, we present a method of extracting feature to retrieve images. In the first step of the proposed method, bound is introduced to mark the contour of the object. The center and the circumcircle of the object can be obtained from the bound. The principal angle of the object is computed...
A smart image background recognition model is proposed, in which inverse square smoothness model (ISSM) and canny edge algorithm are combined. Compared with methods such as method using background difference based on edge extracting, this method is well performed in processing image with complex background. ISSM is practical and robust model, as it makes full use of the relationship between image...
Simple yet effective feature extraction is crucial for content- based image retrieval (CBIR). In this paper we propose a novel type of regional feature, which is called edge region color autocorrelogram (ERCAC). It aims to combine the color and shape characteristics of image jointly, by capturing both color distribution of image and spatial correlation of edge points with a structure-based early fusion...
Content based retrieval and recognition of objects represented in images is a challenging problem making it an active research topic. Shape analysis is one of the main approaches to the problem. In this paper we propose the use of a reduced set of features to describe 2D shapes in images. The design of the proposed technique aims to result in a short and simple to extract shape description. We conducted...
Existence of countless digital images has given rise to image retrieval in many applications. Conventional image databases being text-annotated pose two major problems of keywords for images and complexity. Hence, retrieval systems based on image's visual content are more desirable [1]. The content based image retrieval (CBIR) technique, employed here uses visual cues to retrieve images. This technique...
Color and shape of the strawberry fruit are the important indices which evaluate the quality of commodities and variety. The objectives of this study are to construct the strawberry breeding image database which can preserve the surface fruit color, texture, shape, and the color distribution of the cross section of the strawberry. As an experimental sample, the strawberries of 34 cultivars were used...
To prevent the spread of pornographic image and video on internet, this paper conducts a survey on web image content-based filtering technology. The color model, filtering technology and existing problems are mainly discussed in this paper. Filtering techniques are classified into three categories which are discussed for their characteristic. The results of this paper contribute to further theoretical...
In this paper, we proposed a new affine invariant region-based shape descriptor, the ICA Zernike Moment Shape Descriptor (ICAZMSD). Independent Component Analysis (ICA) is first used to turn the original shape into a canonical form, in which the effects of scaling and skewing are eliminated. Next, the properties of the Zernike transform is used to further eliminate the effects of any possible rotation...
This paper presents a novel 2D region-based shape descriptor inspired by 3D spherical harmonics. We propose an adaptation of the 3D spherical harmonics, which provides a novel set of orthogonal harmonic moments defined on a 2D unit disc. A novel generation of region-based shape descriptors is proposed: the disk harmonic moment descriptor (DHMD). This new descriptor is compared with other methods from...
In content-based image retrieval, image has various inherent aspects which reflect its contenets; so how to organize these contents effectively to improve the performance is a valuable research topic. In this paper, a new kind of image retrieval method is proposed which is based on the combined feature of histograms, gray-level co-occurrence matrix and moment invariants. The result of experiment demonstrates...
Content based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. In our work, we describe an approach to CBIR for various database images that relies on human input machine learning and computer vision. More specifically we apply expert level human interaction for solving that aspect of the problem and we employ machine learning algorithms to allow the system...
An application of content-based image retrieval is proposed for identifying plants, along with a preliminary implementation. The system takes a plant image as input and finds the matching plant from a plant image database and is intended to provide users a simple method to locate information about their house plants. Max-flow min-cut technique is used as the image segmentation method to extract the...
An important aspect encountered in archaeological field consists in the identification of the broken pieces part of an object. A preliminary analysis presupposes the grouping of the articles by material, but this is not enough. A second analysis will be done, this time considering the shape of the frontier of the broken piece. In order to describe the shape of an object's border, the evaluation of...
Image retrieval from distributed database is one of the challenging tasks in recent researches. Unlike text retrieval through SQL, MYSQL, etc, image retrieval is not an easy task because of its storage space, color, shape and texture factor. We propose a technique of retrieving images from a distributed database environment by giving a region of an image as an input query. By applying segmentation...
This paper proposes a novel and effective invariant shape representation by Radon and stationary wavelet transforms for images with complex inner shapes. The proposed method is invariant to general geometrical transformations. Instead of analyzing shapes directly in the spatial domain, the proposed method retrieves features in Radon transform domain by statistical and spectral analysis to make shapes...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.