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Convoluted Neighborhood-Based ordered-dither block truncation coding for Ear Image Retrieval

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS 2024年第2期24卷 2450017-2450017页

作者： Sowmya, M. N. Prasanna, Keshava Visvesvararaya Technol Univ VTU Channabasavesvara Inst Technol Dept Comp Sci & Engn Tumkur Karnataka India

Image retrieval is a significant and hot research topic among researchers that drives the focus of researchers from keyword toward semantic-based image reconstruction. Nevertheless, existing image retrieval investigations still have a shortage of significant semantic image definition and user behavior consideration. Hence, there is a necessity to offer a high level of assistance towards regulating the semantic gap between low-level visual patterns and high-level ideas for a better understanding between humans and machines. Hence, this research devises an effective medical image retrieval strategy using convoluted neighborhood-based ordered-dither block truncation coding (ODBTC). The developed approach is devised by modifying the ODBTC concept using a convoluted neighborhood mechanism. Here, the convoluted neighborhood-based color co-occurrence feature (CCF) and convoluted neighborhood-based bit pattern feature (BBF) are extracted. Finally, cross-indexing is performed to convert the feature points into binary codes for effective image retrieval. Meanwhile, the proposed convoluted neighborhood-based ODBTC has achieved maximum precision, recall, and f-measure with values of 0.740, 0.680, and 0.709.

关键词： Ear image retrieval ordered-dither block truncation coding cross-indexing bit pattern feature binary codes

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Phase congruency and ODBTC based image retrieval

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IET IMAGE PROCESSING 2020年第10期14卷 2195-2203页

作者： Gupta, Shraddha Modem, Sudhakar Thakre, Vandana Vikas Madhav Inst Sci & Technol Elect Dept Gwalior India Indian Inst Technol Jammu Elect Engn Dept Jammu 180017 India

In this study, the authors investigate content based image retrieval (CBIR) using ordered-dither block truncation coding (ODBTC) and phase congruency feature (PCF). Relevant feature extraction plays a vital role for retrieving the image in CBIR. The unique reason to choose PCF with ODBTC is that it detects the edges and corners during variation of image while preserving image brightness and contrast. Combining the PCF and ODBTC features improves CBIR system usage in various visual data processing domains. Thus, yields a better CBIR system which assists in the reduction of storage space, decreases retrieval time and increases accuracy of the system. The precision and recall are used as performance metrics to evaluate the proposed method based on retrieval of relevant images. Extensive experimental results with Corel 1 K (1000 images), Corel 10 K (10000 images) and CALTECH 256 (30144 images) proves that the proposed method is more desirable than antecedent proposed CBIR system in terms of accuracy, precision and recall.

关键词： feature extraction image coding image retrieval content-based retrieval block codes phase congruency feature ODBTC based image retrieval content based image retrieval ordered-dither block truncation coding PCF feature extraction image brightness ODBTC features visual data processing domains edge detection corner detection storage space reduction performance metrics CBIR system image contrast temperature 1 0 K temperature 10 0 K

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Content Based Video Retrieval Scheme Using Halftone block truncation coding 2

Content Based Video Retrieval Scheme Using Halftone Block Tr...

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2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT)

作者： Borkar, Savita V. Katariya, Shraddha S. Amrutvahini Coll Engn Dept Elect Engn Sangamner Maharashtra India

ISBN: (纸本)9781509037049

Evolutions in image-data processing is rapidly changing from text-based retrieval systems to video retrieval which is created on content based systems due to its eminent demand in digital market and that can be possible only due to available multimedia data types and available bandwidth. In proposed method of Content Based Video Retrieval (CBVR) the ordered-dither block truncation coding (ODBTC) technique is employed which generates appropriate image contents. Combinations of Void-and-cluster half-toning and block truncation coding (BTC) offers low complexity in algorithm and provides better video image quality. dither array Look-Up-Table (LUT) is a distinctive feature of ODBTC which reduces the difficulties by providing look up values of segmented blocks. ODBTC encoded streams are used for generation of two distinct features including of color features namely Color Co-occurrence Feature (CCF) and Bit Pattern Features (BPF). After quantizing and bit-mapping from ODBTC encoder, BPF is obtained by LUT. In the presented system, CBVR is achieved by block truncation (BT) of expected video information to be retrieved. Proposed system provides good remedy for CBVR for large digital video-data processing in the fields of Image and Video Processing.

关键词： block truncation coding content based video retrival color co-occurrence feature and bit pattern features half-toning ordered-dither block truncation coding

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Content Based Video Retrieval Scheme Using Halftone block truncation coding

Content Based Video Retrieval Scheme Using Halftone Block Tr...

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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Savita V. Borkar Shraddha S. Katariya Department of Electronics Engineering Amrutvahini College of Engineering

ISBN: (纸本)9781509037056

关键词： block truncation coding content based video retrival color co-occurrence feature and bit pattern features half-toning ordered-dither block truncation coding block truncation coding halftones video retrieval Band-pass filters video information quantizer Search engines data types effective bandwidth

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