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We have analyzed the problems associated with matching regions among the pair of images over the large set of overlapping regions. It is being studied that, matching images by using regions having unstructured association can be a serious problem. In this research we propose a linear formulation technique, which is matching simultaneously, so that the matched area can have color similarity histogram,...
Cascaded directional binary pattern (CDBP) using directional extrema pattern is proposed for content based image retrieval in this paper. It avoids the problems associated with standard local binary pattern as well as its many variants. The directional information (0°, 45°, 90° and 135°) along with color information is incorporated in the proposed feature. The feature provides a balanced combination...
Scene Completion is an interesting Image Processing problem that has recently been studied in the context of data, i.e. by using large repositories of data. One of the requirements for such a data intensive approach is that the completion has to be done without human intervention. This is rather challenging as it may not be clear that what could be the most suitable image for the completion purpose...
Index-based image retrieval improves results of a web image search in the customized real-time image search engines. Index-based Image ranking is an efficient method to improve image search results wherein, a user presents a query in customized search engine to retrieve a large number of images from the image pool on the basis of textual information. Traditionally, Index-based hash code image retrieval...
This paper presents a novel image feature representation method, called multi-channel micro-structure difference descriptor (MCMSDD) for image retrieval. With the local feature extraction from a micro-structure and MAX operator, MCMSDD integrates the advantages of multi-channel local binary encoding and color difference histogram , which are the fusion of color, texture and spatial distribution information...
While the task of visual summarization aims to select representative images from an image collection, we solve a unique problem of style-oriented landmark retrieval and summarization from photographic images of a city. Instead of performing summarization or clustering on landmark images from a city, we allow the user to provide a query input which is not from the city of interest, while the goal is...
In this paper Content Base Image Retrieval (CBIR) system with relevance feedback is presented, where image database search is performed using singularity strength (Holder exponent). Images in database are described with low-level features for color and texture, which are concatenated in feature vectors (FV). Relevance feedback is implemented in CBIR system employing the artificial intelligence based...
Content Based Image Retrival has wide application in the field of communication via internet. There exists various methods for retriving an image from the vast set of data present in the desktop, laptop, workstations and internet. The proposed Histogram positional centroid for image retrival technique uses histogrm feature extraction and position centroid. The Histogram Positional Centroid for Image...
Searching an image in a huge set of images became an important task in several domains such as crime, medicine, geology and so on. The task of retrieving images by their visual contents is called content-based image retrieval (CBIR) systems. These systems have to be fast, efficient and semantically similar. For this aim, we used a new density clustering technique in our proposed CBIR system. The paper...
Traditional VLAD method only uses the SITF feature. Since the SITF feature represents the local gradient information, thus VLAD representation based on SITF feature of image has low discriminative power. To address the problem, we present a simple and effective method that fuse the VLAD vectors based on local gradient and color information. Also, in order to improve the retrieval accuracy and reduce...
Batik is one of Indonesian cultural products in the form of traditional fabrics which has many motifs. One of famous batik is madurese batik. Here, Madura is one of Indonesia islands which has a distinctive motif in terms of colors and motif characteristic that distinguishes it from other regions in Indonesia, but the Madurese communities themselves have not understood the meaning of Madurese batik...
Region of interest means area of image that is to be selected or considered as important part of an image. Region of interest is selected in two different ways; first region is selected by user and second is system dependent selection. Instead of using system selection, user selection will be more effective because system selection can create difficulties while considering regions whereas user will...
The difficulty in searching natural images is the semantic gap between low-level pixel data and the content that is perceived by human. We observed that when viewing images, people often focus on the major color regions and ignore small, isolated sectors. Thus, instead of considering all pixels in the images, which is usually inefficient and prone to noise, we examine and utilize color features after...
This article presents a Color Image Retrieval method based on Combined Color Descriptions and Features, which is called the CIRCCODF method hereafter. A main contribution of the article is that the method first devises a modified-color-feature-extraction algorithm, called Image Vector (IV). Then, another color features, Color Layout Descriptor (CLD), which is used in the MPEG-7, is selected. Subsequently,...
The purpose of this paper is to describe our research and solution to the problem of designing an Encrypted Image Retrieval System. Due to rapid increase in image database volume, as well as its vast deployment in various applications, the need to secure images in the database became necessary and the need for development of efficient algorithms for proposed retrieval systems are important. The proposed...
Skin cancer is one of the most frequent cancers among human beings. Whereas, malignant melanoma is the most aggressive and deadly type of skin cancer, and its incidence has been quickly increasing over the last years. The detection of the malignant melanoma in its early stages with dermoscopic images reduces the mortality considerably, hence this a crucial issue for the dermatologists. However, their...
In this research, a new technique For Content Based Image Retrieval (CBIR) with contrast enhancement using multi-feature and multi kernel Support Vector Machine (SVM) method. Color moment (CM), Auto Correlogram (AC), Discrete Wavelet Transform (DWT), Gabor Filter (GF) features are proposed. We extended the previous work which used binary SVM classifier and color features. First of all take a query...
The objective of this paper is to analyze the research work in the field of content based image retrieval (CBIR). Content based image retrieval is very important filed for efficient image retrieval system. This paper focuses on the latest trends available and the methodology in the current research. Based on the study several result comparison and research gaps have been discussed. The discussions...
This paper objective is to analyze LBP and CM for the comparative analysis in the field of content based image retrieval (CBIR). In this paper LBP and CM methods are used for the efficient retrieval of the images from the Wang database. All the 10 classes are used for the results comparison. LBP is used for better thresholding and CM is used with color dominant features for the efficient retrieval...
As an important visual characteristic, color has been widely applied in content based image retrieval. The paper adopted the RGB color model, wherein intersection distance method, Euclidean distance method and correlation distance method based on color histogram characteristics were applied respectively in the experiments of the same sample image and the same image database. Experimental results show...
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