A bottom-up review of image analysis methods for suspicious region detection in mammograms

P Oza, P Sharma, S Patel, A Bruno - Journal of Imaging, 2021 - mdpi.com
Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …

Automatic Indonesian's batik pattern recognition using SIFT approach

I Nurhaida, A Noviyanto, R Manurung… - Procedia Computer …, 2015 - Elsevier
Batik is a traditional clothwith unique patterns applied to fabric using a wax-resist dyeing
technique. Aside from preserving this rich cultural heritage, the automated recognition of …

A multi-scale colour and keypoint density-based approach for visual saliency detection

A Bruno, F Gugliuzza, R Pirrone, E Ardizzone - IEEE Access, 2020 - ieeexplore.ieee.org
In the first seconds of observation of an image, several visual attention processes are
involved in the identification of the visual targets that pop-out from the scene to our eyes …

Scale invariant texture representation based on frequency decomposition and gradient orientation

J Zhang, J Liang, C Zhang, H Zhao - Pattern Recognition Letters, 2015 - Elsevier
This paper proposes an effective scale invariant texture representation based on frequency
decomposition and gradient orientation. First, the image intensities are decomposed into …

A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images

A Bruno, E Ardizzone, S Vitabile… - Journal of Medical …, 2020 - journals.lww.com
Background: Deep learning methods have become popular for their high-performance rate
in the classification and detection of events in computer vision tasks. Transfer learning …

IPCS: An improved corner detector with intensity, pattern, curvature, and scale

C Wan, J Cao, X Wei, J Huang, Z Chen, D Xu… - The Visual Computer, 2023 - Springer
The corner detection plays an important role in the area of image processing and computer
vision. The current corner detection methods often utilize few cues or single model to …

Image content enhancement through salient regions segmentation for people with color vision deficiencies

A Bruno, F Gugliuzza, E Ardizzone, CC Giunta… - i …, 2019 - journals.sagepub.com
Color vision deficiencies affect visual perception of colors and, more generally, color
images. Several sciences such as genetics, biology, medicine, and computer vision are …

High-level feature extraction for crowd behaviour analysis: a computer vision approach

A Bruno, M Ferjani, Z Sabeur, B Arbab-Zavar… - … Conference on Image …, 2022 - Springer
The advent of deep learning has brought in disruptive techniques with unprecedented
accuracy rates in so many fields and scenarios. Tasks such as the detection of regions of …

Exploiting visual saliency algorithms for object-based attention: A new color and scale-based approach

E Ardizzone, A Bruno, F Gugliuzza - … 11-15, 2017, Proceedings, Part II 19, 2017 - Springer
Visual Saliency aims to detect the most important regions of an image from a perceptual
point of view. More in detail, the goal of Visual Saliency is to build a Saliency Map revealing …

An effective Satellite Remote Sensing tool combining hardware and software solutions

F Gugliuzza, A Bruno, E Ardizzone… - Sensor Networks: 6th …, 2019 - Springer
In this paper we propose a new effective remote sensing tool combining hardware and
software solutions as an extension of our previous work. In greater detail the tool consists of …