Remote sensing image classification: A comprehensive review and applications
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …
construction materials and provide detailed geographic information. In remote sensing …
Content-based image retrieval: A review of recent trends
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …
enormous amount of image databases have been created in different kind of applications …
An efficient bi-layer content based image retrieval system
Large amount of multi-media content, generated by various image capturing devices, is
shared and downloaded by millions of users across the globe, every second. High …
shared and downloaded by millions of users across the globe, every second. High …
Deep belief CNN feature representation based content based image retrieval for medical images
SK Sundararajan, B Sankaragomathi… - Journal of medical …, 2019 - Springer
Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst
the younger people, early intervention and prompt diagnosis is requisite. This disease …
the younger people, early intervention and prompt diagnosis is requisite. This disease …
A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments
N Varish - Multimedia Tools and Applications, 2022 - Springer
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering
Given that the meaning of an image is rarely self-evident using traditional keyword and/or
content-based descriptions, the general goal of this study is to convert, with minimal human …
content-based descriptions, the general goal of this study is to convert, with minimal human …
Fragmented plant leaf recognition: Bag-of-features, fuzzy-color and edge-texture histogram descriptors with multi-layer perceptron
Plants species recognition is one of the most important research topics in the biological
sciences. Although leaves are convenient markers for identification, a major drawback is that …
sciences. Although leaves are convenient markers for identification, a major drawback is that …
Image recommendation algorithm based on deep learning
P Yin, L Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid development of network technology, the number of digital images is growing
at an alarming rate, people's demand for information gradually shift from text into images …
at an alarming rate, people's demand for information gradually shift from text into images …
An image retrieval scheme based on block level hybrid dct-svd fused features
M Majhi, AK Pal - Multimedia Tools and Applications, 2021 - Springer
In this paper, an image retrieval scheme has been proposed based on block level hybrid
features. The block level salient feature are extracted in two parts: first level features are …
features. The block level salient feature are extracted in two parts: first level features are …
ExpertosLF: dynamic late fusion of CBIR systems using online learning with relevance feedback
One of the main challenges in CBIR systems is to choose discriminative and compact
features, among dozens, to represent the images under comparison. Over the years, a great …
features, among dozens, to represent the images under comparison. Over the years, a great …