A bottom-up review of image analysis methods for suspicious region detection in mammograms
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 …
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 …
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
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 …
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
This paper proposes an effective scale invariant texture representation based on frequency
decomposition and gradient orientation. First, the image intensities are decomposed into …
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
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 …
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 …
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
Color vision deficiencies affect visual perception of colors and, more generally, color
images. Several sciences such as genetics, biology, medicine, and computer vision are …
images. Several sciences such as genetics, biology, medicine, and computer vision are …
High-level feature extraction for crowd behaviour analysis: a computer vision approach
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 …
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
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 …
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
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 …
software solutions as an extension of our previous work. In greater detail the tool consists of …