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similarity-based image retrieval

A REVIEW ON VARIOUS APPROACHES OF CBIR USING COLOR AND SHAPE BASED FEATURES

A REVIEW ON VARIOUS APPROACHES OF CBIR USING COLOR AND SHAPE BASED FEATURES

... content-based Image Retrieval”, Content-based image retrieval (CBIR) is a technique uses visual contents such as colour, texture and shape to search images from large scale ...

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Improving Image Retrieval using a Data mining Approach

Improving Image Retrieval using a Data mining Approach

... the retrieval process for methods that use a clustering approach, the query image is first compared with the average color of all the cluster ...greatest similarity to the query image is ...

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Similarity measures for content-based image retrieval based on intuitionistic fuzzy set theory

Similarity measures for content-based image retrieval based on intuitionistic fuzzy set theory

... information. Similarity measures of intu- itionistic fuzzy sets have received much attention from researchers ...distance based on the Hausdorff metric using intuitionistic fuzzy ...the similarity ...

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Online Full Text

Online Full Text

... Abstract—Content based image retrieval (CBIR) is a retrieval technique which uses the visual information by retrieving collections of digital ...of retrieval is carried out by measuring ...

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Shape based Image Classification using Geometric ­–Properties

Shape based Image Classification using Geometric ­–Properties

... shape based classification they have identified in vehicular ...the similarity matching between the query image and the database ...query image) and 1(it means does not match to the query ...

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A Study on Content Based Image Retrieval Systems

A Study on Content Based Image Retrieval Systems

... The Similarity functions seek calculates the content difference between two images based on their ...called similarity measurement [28].The query image features are used to retrieve the ...

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Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution

Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution

... performs image retrieval on the cloud without the user’s constant ...an image on ...secure image similarity scoring protocol, which enables the cloud servers to compare two images ...

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Efficient Image Retrieval Using Cloud Repository

Efficient Image Retrieval Using Cloud Repository

... recovery based on short and long-term relevance ...i.e. image and ...the image arrays and audio entities, and they defined the metric of the distance between the means for the measurement of ...

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A Survey on Image Retrival Using Query Based Approach to Feature Extraction

A Survey on Image Retrival Using Query Based Approach to Feature Extraction

... keyword based search for image, an inefficient method for retrieval of required image ...Content-Based Image Retrieval (CBIR) system retrieves the similar images from a ...

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Hierarchical Image Retrieval by Multi-Feature Fusion

Hierarchical Image Retrieval by Multi-Feature Fusion

... Large-scale image retrieval based on visual information is a key technology in many ...the image at first. There are a lot of methods to represent the image content, such as color, ...

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Analysis of Different Similarity Measures in Image Retrieval Based on Texture and Shape

Analysis of Different Similarity Measures in Image Retrieval Based on Texture and Shape

... color based descriptor. It provides geometric information in case of same image have different ...an image into 4x4 non overlapping ...of image blocks to describe the distribution of ...

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Bi-Similarity Mapping Based Image Retrieval
Using Shape Features

Bi-Similarity Mapping Based Image Retrieval Using Shape Features

... shape based image retrieval in literature have the irrespective advantages and limitations with respect to the kind of input they can handle, computational complexity, ...

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Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

... Content-based image retrieval (CBIR) is also known as query by image content and content-based visual information retrieval is the use of computer vision to the image ...

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Enhancing the Performance of Image Retrieval through Similarity Measure

Enhancing the Performance of Image Retrieval through Similarity Measure

... querying image with respect to color is presented in content based image retrieval ...Every image has the important feature which is ...an image has a three-dimensional color ...

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Content based Image Indexing & Retrieval

Content based Image Indexing & Retrieval

... It is well known that color is one of the most prominent queues for human visual perception and, due to this fact; it has seen a lot of research over the years, making color feature extraction relatively easy to ...

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Similarity Image Retrieval Using Enhanced Color Histogram Based On Support Vector Machine.

Similarity Image Retrieval Using Enhanced Color Histogram Based On Support Vector Machine.

... with image classification for better use of enhanced color histogram to retrieve similar ...different image classes (aeroplanes, motorbikes, and people); (ii) assessing the performance of the enhanced color ...

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Learning Context Determination based on Relevance Feedback for Memory Recall

Learning Context Determination based on Relevance Feedback for Memory Recall

... a similarity ranking measure between the query image and corresponding image in the database, which improves retrieval ...Constrained Similarity Measure (CSM) learns similarity ...

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Content based image retrieval using color histogram

Content based image retrieval using color histogram

... Based Image Retrieval (CBIR) systems are search engines for image databases, which index images according to their ...query image or series of images and the system retrieve images from ...

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SIMILARITY AWARE CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR LARGER MEDICAL DATABASE

SIMILARITY AWARE CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR LARGER MEDICAL DATABASE

... an image ranking method which speak about the pictures by sets of areas and apply these portrayals to the different case learning in light of the maximum edge system multiple-instance learning based on the ...

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Similarity Preserving Deep Asymmetric Quantization for Image Retrieval

Similarity Preserving Deep Asymmetric Quantization for Image Retrieval

... learned based on only the image subset fail in quan- tizing well the whole database, which may verify the claim that SPDAQ is able to map the subset items and database items two different ...

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