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58 articles for “image retrieval”
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A Review on Image Retrieval with Its Application and Techniques
Abstract: In the field of image processing, image retrieval is one of the most dynamic exploration field in the previous few years. In the image retrieval three main categories there are text-based, content-based and semantic-based. In content based image retrieval (CBIR) images are retrieved from their visual content such as color, texture and shapes. CBIR is used to effectively retrieve required images from a large collection of images. In this paper, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram
Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 Read article
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Image Retrieval by Matching Sketches and Images
Abstract: The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problemis the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may referto colors, shapes, textures or any other information that can be derived from the image itself. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 18–22 Read article
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A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features
Abstract: Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 70–77 Read article
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A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features
Abstract: Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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A Brief Review on Content Based Image Retrieval with Its Techniques
Abstract: In today’s time the growth in digitization of images, diagrams, paintings and explosion of World Wide Web (www), has made classical keyword based on search for an image—an ineffective technique for the retrieval of required image documents. Content-based image retrieval (CBIR) is used to efficiently retrieve required images from fairly large databases. The main problem is to extract the image features that effectively represent image content in a database. In …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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A Novel Approach for Texture Feature Extraction to Retrieve Texture Images using Gray-Level Co-occurrence Matrix (GLCM)
Abstract: Image retrieval plays an important role in many of the areas. Content based image retrieval (CBIR) is used for browsing most similar images from the large database. Texture is an important characteristics used in identifying the region of interest or objects in an image. In this image retrieval method, texture method is used to extract the features and retrieves the similar images based on similarity of the features. In the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 32–36 Read article
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An Approach for Similarity Matching and Comparison in Content Based Image Retrieval System
Abstract: Today, in the age of images and digitization relevant retrieval is quite a topic of research. With every new day thousands of pictures are getting added into the database making it a high dimensional data set. Therefore, from a high dimensional dataset to get a set of relevant images is quite a cumbersome task. In this paper, experiment has been performed on the trademark images. Trademark is a very important …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 57–63 Read article
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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Effective CBIR System Using Color Histogram and Distance Measures
Abstract: AbstractInterests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 11–14 Read article
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An Efficient Color Method for Retrieving Color-based Images
Abstract: Image retrieval plays a vital role in many of the areas. CBIR is content-based image retrieval for browsing images from a large dataset. Image retrieval is used in many of the applications such as image processing, pattern recognition, military, medical fields and forensic fields. In the proposed image retrieval method, color method is used to extract the features and retrieve similar images based on similarity of features. In the color …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 2, 2014 · pp. 16–19 Read article
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K-NN Classification and Thresholding by Fuzzy If-Then Rules using Texture and Shape Feature
Abstract: In present scenario image retrieval is the basic requirement, because of different types of images features are added in database from different sources are available for image retrieval. In Content Based Image Retrieval ‘content based’ means that the search will analyze the actual contents of the image. In this paper texture and shape features are extracted and classifications of images are done with K-Nearest Neighbour. The Fuzzy concept If-Then rules …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 1–11 Read article
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Content Based Document Image Indexing and Retrieval using Hybrid of Quadtree and Sparse Matrix Structure
Abstract: The fundamental consideration in the design & development of a content based image retrieval system is to extract the image features that best represent the image contents in a database. Currently several image indexing approaches based on Quadtree do exist. In this paper, the proposed approach is primarily concentrating on database classification for efficient image representation and effective retrieval using Quadtree decomposition technique augmented by sparse based index structure. In …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 18–27 Read article
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Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article
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Various Approaches and Literature based on CBIR: A Survey
Abstract: CBIR is the assignment of retrieving the pictures from the vast accumulation of database based on their own visual substance. This paper gives the review of specially designed accomplishments in the analysis of the region of content-based image retrieval (CBIR). The requirement for the development of CBIR is enhanced as a result of giant progress in the volume of snapshots as good as the preferred software in more than one …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 1–13 Read article
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Different Various Techniques of CBIR: A Review
Abstract: Abstract—The content-based image retrieval (CBIR) is turning into a supply of precise and fast retrieval. In this paper, the strategies of CBIR are mentioned. As image collections are growing at a rapid fee, call for efficient and powerful equipment for retrieval of query pictures from a database is expanded appreciably. Among them, CBIR have turn out to be very famous for browsing, looking and retrieving pictures from a big database …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 18–24 Read article
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CBIR using Feature Extraction approaches and Application: A survey
Abstract: Abstract—Content based-image retrieval (CBIR) is an extraordinarily foremost field of study at the moment. CBIR is a method which constructs use of visible facets of image corresponding to color, form, texture, and so on. CBIR technologies furnish an approach to discover images in enormous databases by way of using particular descriptors from an expert image. A lots of researches work had been accomplished prior to now decade to design resourceful …
Published in Journal Of Network security · Vol. 5, Issue 3, 2017 · pp. 9–16 Read article
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A CBIR Technique Comparison Using Color, Texture and Shape Features
Abstract: AbstractPicture recovery is a framework for seeking, perusing, and recovery of pictures from computerized image database-based image retrieval (CBIR). It is a plan of picture inquiry which supplements the standard based image retrieval through visual elements, for example texture, shading, and shape. This framework recovers as indicated by the inquiry picture; the client offers or picks a question picture and chooses a space measure which will be used to contrast …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 28–34 Read article