C. D. Ruberto

发表

On the Detection of Visual Features from Digital Curves Using a Metaheuristic Approach

Cecilia Di Ruberto, C. D. Ruberto, 2012 .

A new iterative approach for dominant points extraction in planar curves

C. D. Ruberto, Andrea Morgera, 2009 .

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Simon X. Yang, Alexandre Alahi, Jenq-Neng Hwang, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold

Cecilia Di Ruberto, Lorenzo Putzu, C. D. Ruberto, 2014, 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems.

Segmentation of blood images using morphological operators

Andrew G. Dempster, Shahid Khan, Cecilia Di Ruberto, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Detection of red and white blood cells from microscopic blood images using a region proposal approach

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu, 2019, Comput. Biol. Medicine.

Leucocyte classification for leukaemia detection using image processing techniques

Cecilia Di Ruberto, Lorenzo Putzu, Giovanni Caocci, 2014, Artif. Intell. Medicine.

A novel deep learning based approach for seed image classification and retrieval

Cecilia Di Ruberto, Andrea Loddo, Mauro Loddo, 2021, Comput. Electron. Agric..

Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu, 2021, CAIP.

Fast and accurate computation of orthogonal moments for texture analysis

Cecilia Di Ruberto, Giuseppe Rodriguez, Lorenzo Putzu, 2018, Pattern Recognit..

Rotation Invariant Co-occurrence Matrix Features

Cecilia Di Ruberto, Lorenzo Putzu, C. D. Ruberto, 2017, ICIAP.

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Cecilia Di Ruberto, Andrea Loddo, C. D. Ruberto, 2021, J. Imaging.

A leucocytes count system from blood smear images

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu, 2016, Machine Vision and Applications.

Analysis of infected blood cell images using morphological operators

Andrew G. Dempster, Shahid Khan, Cecilia Di Ruberto, 2002, Image Vis. Comput..

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

C. D. Ruberto, A. Loddo, Corrado Fadda, 2022, J. Imaging.

Moment-Based Techniques for Image Retrieval

Cecilia Di Ruberto, Andrea Morgera, C. D. Ruberto, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

A fast leaf recognition algorithm based on SVM classifier and high dimensional feature vector

Cecilia Di Ruberto, Lorenzo Putzu, C. D. Ruberto, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Evaluation of Statistical Features for Medical Image Retrieval

Cecilia Di Ruberto, Giuseppe Fodde, C. D. Ruberto, 2013, ICIAP.

A.I. Based Image Segmentation

Michele Nappi, Cecilia Di Ruberto, Sergio Vitulano, 1995, ICIAP.

Statistical features for image retrieval a quantitative comparison

Cecilia Di Ruberto, Giuseppe Fodde, C. D. Ruberto, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Cecilia Di Ruberto, Andrea Loddo, Michel Kocher, 2017, Sensors.

White Blood Cells Identification and Counting from Microscopic Blood Image

Cecilia Di Ruberto, Lorenzo Putzu, C. D. Ruberto, 2013 .

Histogram of Radon transform and texton matrix for texture analysis and classification

Cecilia Di Ruberto, C. D. Ruberto, 2017, IET Image Process..

MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis

Cecilia Di Ruberto, Andrea Loddo, Michel Kocher, 2018, SaMBa@MICCAI.

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

C. D. Ruberto, A. Loddo, Sara Buttau, 2021, Comput. Biol. Medicine.

A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps

Cecilia Di Ruberto, Gianni Fenu, Lorenzo Putzu, 2016, ACIVS.

Different methods to segment biomedical images

Michele Nappi, Cecilia Di Ruberto, Sergio Vitulano, 1997, Pattern Recognit. Lett..

On Different Colour Spaces for Medical Colour Image Classification

Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Fodde, 2015, CAIP.

Comparison of Statistical Features for Medical Colour Image Classification

Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Fodde, 2015, ICVS.

A Feature Learning Framework for Histology Images Classification

Lorenzo Putzu, C. Di Ruberto, C. D. Ruberto, 2016 .

Automatic thresholding of infected blood images using granulometry and regional extrema

Andrew G. Dempster, Shahid Khan, Cecilia Di Ruberto, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Leucocyte classification for leukaemia detection using image processing techniques

C. D. Ruberto, G. Caocci, Lorenzo Putzu, 2014, Artif. Intell. Medicine.

Attributed skeleton graphs using mathematical morphology

Andrew G. Dempster, C. Di Ruberto, A. Dempster, 2001 .

A new automatic approach to seed image analysis: From acquisition to segmentation pdf

Cecilia Di Ruberto, Andrea Loddo, A. M. P. G. Vale, 2020, ArXiv.

An Open Source Plugin for Image Analysis in Biology

Cecilia Di Ruberto, Andrea Loddo, Giorgia Campanile, 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024

M. Kristan, C. D. Ruberto, Kaer Huang, 2023, ArXiv.

Recognition of shapes by attributed skeletal graphs

Cecilia Di Ruberto, C. D. Ruberto, 2004, Pattern Recognit..

Computer Aided Diagnosis in Radiology

Michele Nappi, Cecilia Di Ruberto, Sergio Vitulano, 1995, ICSC.

Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image

Cecilia Di Ruberto, Lorenzo Putzu, C. D. Ruberto, 2013, ICIAP.