CONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015 Image retrieval can be divided into two types context-based and the content-based. Image retrieval based on the content refers to the image features such as color, texture, shape, semantics or sensations.
Sukmawati Nur Endah +2 more
doaj +1 more source
A hierarchical discriminant analysis framework for content-based image retrieval system for industrial applications [PDF]
, 2005 Content-based image retrieval (CBIR) systems have drawn interest from many researchers in recent years. One of the potential applications of CBIR is in industrial areas where the most relevant drawings or images can be retrieved speedily without the need
Fung, C.C., Chung, K.P.
core
A fast compression-based similarity measure with applications to content-based image retrieval [PDF]
, 2011 Compression-based similarity measures are effectively employed in applications on diverse data types with a basically parameter-free approach. Nevertheless, there are problems in applying these techniques to medium-to-large datasets which have been ...
Mihai Datcu +3 more
core +1 more source
AN INTELLIGENT CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR MAMMOGRAM IMAGE ANALYSIS [PDF]
Journal of Engineering Science and Technology, 2015 An automated segmentation method which dynamically selects the parenchymal region of interest (ROI) based on the patients breast size is proposed from which, statistical features are derived.
K. VAIDEHI, T. S. SUBASHINI
doaj
Multitraining support vector machine for image retrieval [PDF]
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
core +1 more source
Implementasi Kombinasi Feature Extraction untuk Content Based Image Retrieval
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2014 In this research, the CBIR method used several combination of feature extraction methods, such as a combination between LCH (HSV) and DC Coefficient, a combination between 2 nd Order Statistic GLCM Sub Block and DC Coefficient, and a combination ...
Fredy Windana +2 more
doaj +1 more source
Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]
, 2010 This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C. +3 more
core +1 more source
Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers
مجله علمسنجی کاسپین, 2018 Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on ...
Samira Daniali +2 more
doaj
Learning image representations for content-based image retrieval of radiotherapy treatment plans. [PDF]
Phys Med Biol, 2023 Huang C +9 more
europepmc +1 more source
Block-based Against Segmentation-based Texture Image Retrieval
, 2010 This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two approaches have been suggested, the multiscale block-based approach and the automatic
Lewis, Paul +3 more
core +2 more sources