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 …
A comparative study of features selection for skin lesion detection from dermoscopic images
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy C-mean clustering and fuzzy SVM algorithm
The herpesvirus, polyomavirus, papillomavirus, and retrovirus families are associated with
breast cancer. More effort is needed to assess the role of these viruses in the detection and …
breast cancer. More effort is needed to assess the role of these viruses in the detection and …
An efficient image descriptor for image classification and CBIR
Pattern recognition and feature extraction of images always have been important subjects in
improving the performance of image classification and Content-Based Image Retrieval …
improving the performance of image classification and Content-Based Image Retrieval …
A novel technique based on visual words fusion analysis of sparse features for effective content‐based image retrieval
M Yousuf, Z Mehmood, HA Habib… - Mathematical …, 2018 - Wiley Online Library
Content‐based image retrieval (CBIR) is a mechanism that is used to retrieve similar images
from an image collection. In this paper, an effective novel technique is introduced to improve …
from an image collection. In this paper, an effective novel technique is introduced to improve …
Designing a new deep convolutional neural network for content-based image retrieval with relevance feedback
H Rastegar, D Giveki - Computers and Electrical Engineering, 2023 - Elsevier
Content-based image retrieval (CBIR) is a hot research topic in computer vision. Relevance
Feedback (RF) is a powerful technique that can help to increase quality of the CBIR. In this …
Feedback (RF) is a powerful technique that can help to increase quality of the CBIR. In this …
A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine
The advancements in the multimedia technologies result in the growth of the image
databases. To retrieve images from such image databases using visual attributes of the …
databases. To retrieve images from such image databases using visual attributes of the …
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 …
Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems
One of the main concerns for online shop** websites is to provide efficient and
customized recommendations to a very large number of users based on their preferences …
customized recommendations to a very large number of users based on their preferences …
Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR
The content-based image retrieval (CBIR) based on sparse visual features is a challenging
research problem to categorize images into semantically meaningful classes. Different …
research problem to categorize images into semantically meaningful classes. Different …