Automatic Query Image Disambiguation for Content-Based Image Retrieval
Query images presented to content-based image retrieval systems often have various different interpretations, making it difficult to identify the search objective pursued by the user.
Barz, Björn, Denzler, Joachim
core +1 more source
Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review
Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data.
Afshan Latif+9 more
semanticscholar +1 more source
Hybrid Swarm Intelligence Method for Post Clustering Content Based Image Retrieval [PDF]
Content Based Image Retrieval is one of the most promising method for image retrieval where searching and retrieving images from large scale image database is a critical task.
Meshram, Shubhangi P.+2 more
core +1 more source
Medical Image Registration Based Retrieval [PDF]
This paper presents a quantitative evaluation of state-of-the art intensity based image registration with retrieval methods applied to medical images. The purpose of this study is to access the stability of these methods for medical image analysis.
Swarnambiga AYYACHAMY+1 more
doaj
A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
doaj +1 more source
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images [PDF]
In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-then-compression (EtC) images." In the proposed scheme, extended SIMPLE descriptors are extracted from EtC images as well as from plain ones, so the mixed use of plain and encrypted ...
arxiv
Content Based Image Retrieval System Using NOHIS-tree
Content-based image retrieval (CBIR) has been one of the most important research areas in computer vision. It is a widely used method for searching images in huge databases. In this paper we present a CBIR system called NOHIS-Search.
Taileb, Mounira
core +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Perlustration on Image Processing under Free Hand Sketch Based Image Retrieval [PDF]
In general information retrieval has taken vast diversions in visualizing the content presentation for the users who generates the queries for the system, where it includes the concept of content based Image Retrieval to provide the results in a better ...
S. Amarnadh+2 more
doaj +1 more source
With the rapid advancement of medical imaging technologies, the high-resolution CT image data is becoming increasingly valuable for both medical research and clinical diagnosis. The paper takes lung CT image as an example.
Yi Zhuang, Nan Jiang, Shuai Chen
doaj +1 more source