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image retrieval

Remote Sensing Image Retrieval with Combined Features Of Salient Region

Remote Sensing Image Retrieval with Combined Features Of Salient Region

... on image retrieval based on low-level features (color, texture and shape, ...on image size, direction and ...addition, retrieval method using combination of color and texture features is ...

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MammoSys: A content-based image retrieval system using breast density patterns

MammoSys: A content-based image retrieval system using breast density patterns

... for image retrieval and is able to aid radiologists in their ...the retrieval of the mammographies was performed by SVM, enabling the development of a system that can really aid radi- ologists in ...

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IMAGE RETRIEVAL BERDASARKAN FITUR WARNA, BENTUK, DAN TEKSTUR

IMAGE RETRIEVAL BERDASARKAN FITUR WARNA, BENTUK, DAN TEKSTUR

... training image dan menjadi sebuah deskripsi ...dari image harus tetap dapat dideteksi walaupun menghadapi isu image scale, noise, dan illumination yaitu dengan menggunakan edge dari objek pada ...

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A Novel Content-Based Image Retrieval Technique Using Tree Matching

A Novel Content-Based Image Retrieval Technique Using Tree Matching

... an image just by small number of ...an image to generate indices in order to describe it for the purpose of content based image retrieval (CBIR) ...

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Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.

Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.

... radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent ...medical image retrieval have been ...

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Efficient Use of Semantic Annotation in Content Based Image Retrieval (CBIR)

Efficient Use of Semantic Annotation in Content Based Image Retrieval (CBIR)

... The standard being used to define the way of handling the metadata has to be a lot more powerful than EXIF or for instance Dublin Core [Hunter2000]. DC only defines 15 core qualifiers, which can be understood as metadata ...

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A Refined Hybrid Image Retrieval System using Text and Color

A Refined Hybrid Image Retrieval System using Text and Color

... An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images [1, ...large image datasets due to advancement in data storage and ...

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FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

... Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research ...relevant image features ...

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An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique

An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique

... based image retrieval (CBIR) technique has been presented to resolve these ...the image and using a train level, a good threshold for classifying the pixels would be ...

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A Sub-block Based Image Retrieval Using Modified Integrated Region Matching

A Sub-block Based Image Retrieval Using Modified Integrated Region Matching

... based image retrieval system using the colour and texture features of selected sub-blocks and global colour and shape features of the image is ...query image and the candidate images in the ...

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Global Descriptor Attributes Based Content Based Image Retrieval of Query Images

Global Descriptor Attributes Based Content Based Image Retrieval of Query Images

... There are many existing feature selection techniques such as distribution based approaches, Kullback-Leibler divergence (K-LD), boosting manner, discriminant analysis (DA) method and others. However, these feature ...

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PERFORMANCE EVALUATION OF CONTENT BASED IMAGE RETRIEVAL FOR MEDICAL IMAGES

PERFORMANCE EVALUATION OF CONTENT BASED IMAGE RETRIEVAL FOR MEDICAL IMAGES

... Content-based image retrieval (CBIR) technology benefits not only large image collections management, but also helps clinical care, biomedical research, and ...limited image retrieval ...

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Multimedia Content Based Image Retrieval Iii: Local Tetra  Pattern

Multimedia Content Based Image Retrieval Iii: Local Tetra Pattern

... Content Based Image Retrieval methods face several challenges while presentation of results and precision levels due to various specific applications. To improve the performance and address these problems a ...

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Content based image retrieval based on eye physiological structure and relevance feedback

Content based image retrieval based on eye physiological structure and relevance feedback

... Based Image Retrieval (CBIR) includes a set of methods for processing visual features of a query image to find similar images at an images ...in retrieval systems. In this paper we have tried ...

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A Novel Algorithm for Region-Based Image Retrieval Framework

A Novel Algorithm for Region-Based Image Retrieval Framework

... In the last decade the number of medical images especially digital images is increasing which is used for diagnosing and therapies. With the wide growth of medical images database, the statistical analysis of medical ...

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REPOSITORIO INSTITUCIONAL DA UFOP: Object-based image retrieval using local feature extraction and relevance feedback.

REPOSITORIO INSTITUCIONAL DA UFOP: Object-based image retrieval using local feature extraction and relevance feedback.

... based image retrieval (CBIR) methods, which use search keys that are extracted automatically from the visual content of images have been developed to improve the performance of visual information management ...

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AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE OF IMAGE SUBBLOCKS

AN EFFICIENT CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE OF IMAGE SUBBLOCKS

... Image retrieval systems attempt to search through a database to find images that are perceptually similar to a query ...text-based image searching and can greatly enhance the accuracy of the ...

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Web Image Retrieval Search Engine based on Semantically Shared Annotation

Web Image Retrieval Search Engine based on Semantically Shared Annotation

... accessing image of interest, overwhelming for users Therefore, some additional processing is needed in order to make such collections searchable in a useful ...Web image retrieval search engines, ...

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Comparison Contour Extraction Based on Layered Structure and Fourier Descriptor on Image Retrieval

Comparison Contour Extraction Based on Layered Structure and Fourier Descriptor on Image Retrieval

... The shape is one of the primary features in Content-Based Image Retrieval (CBIR). The shape is also one of an important visual feature of an image and used to describe image content. Among ...

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Content Based Image Retrieval by Multi Features using Image Blocks

Content Based Image Retrieval by Multi Features using Image Blocks

... based image retrieval (CBIR) is an effective method of retrieving images from large image ...higher retrieval efficiency is achieved by combining the information of image features ...

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