CBIR for classification of cow types using GLCM and color features extraction

T Sutojo, PS Tirajani, CA Sari… - 2017 2nd …, 2017 - ieeexplore.ieee.org
Cow is one of the animals that have many benefits for humans. There are various types of
cows based on benefits such as dairy cows, beef cattle, worker cattle, and others. Cattle …

[PDF][PDF] Review on content based image retrieval: From its origin to the new age

P Nalini, BL Malleswari - Int. J. Res. Stud. Sci. Eng. Technol, 2016 - ijrsset.org
Content Based Image Retrieval (CBIR) is a process in which for a given query image, similar
images will be retrieved from a large image database based on their content similarity. The …

Improved cuckoo search with particle swarm optimization for classification of compressed images

V Enireddy, RK Kumar - Sadhana, 2015 - Springer
The need for a general purpose Content Based Image Retrieval (CBIR) system for huge
image databases has attracted information-technology researchers and institutions for CBIR …

Spatial modelling of soil organic carbon stocks with combined principal component analysis and geographically weighted regression

L Guo, M Luo, C Zhangyang, C Zeng… - The Journal of …, 2018 - cambridge.org
With the development of remote sensing and geostatistical technology, complex
environmental variables are increasingly easily quantified and applied in modelling soil …

CBIR-based diagnosis of dermatology

GW Jiji, A Rajesh, PJ Durairaj - International Journal of …, 2022 - inderscienceonline.com
In this work, we have presented a computer aided diagnosis approach to assist the
diagnosis process of dermatological diseases. The proposed framework is used to retrieve …

Complexity reduction of biochemical networks

RR Vallabhajosyula, HM Sauro - Proceedings of the 2006 …, 2006 - ieeexplore.ieee.org
This paper discusses two broad approaches for reducing the complexity of large cellular
network models. The first approach involves exploiting conservation and time-scale …

[PDF][PDF] A survey on feature based image retrieval using classification and relevance feedback techniques

KM Zinzuvadia, BA Tanawala… - International Journal of …, 2015 - academia.edu
Now a day, digital world increase with bandwidth, handheld devices, storage technologies
and social networking sites and huge volume of images are stored on web. With significantly …

[PDF][PDF] High f-score model for recognizing object visibility in images with occluded objects of interest

B Čiapas, P Treigys - Baltic journal of modern computing, 2021 - epublications.vu.lt
Article investigates recognition of partially occluded objects of interest. Images from retail
store self checkout area often contain products that are covered by a customer's body parts …

Efficient content based image retrieval using SVM and color histogram

S Saad, H Kumar, TK Tewari - 2017 Tenth International …, 2017 - ieeexplore.ieee.org
The volume of the image databases have increased to such an extent that it is very difficult to
retrieve the relevant images from the database efficiently. Content Based Image Retrieval …

[HTML][HTML] Feature Extraction of Ophthalmic Images Using Deep Learning and Machine Learning Algorithms

T Sundeep, U Divyasree, K Tejaswi… - Engineering …, 2023 - mdpi.com
Deep learning and Machine Learning Algorithms has become the most popular method for
analyzing and extracting features especially in medical images. And feature extraction has …