J. Scharcanski

Jacob Scharcanski, Alexander Wong, Dionicio Vasquez, 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

Data and Information Dimensionality in Non-cooperative Face Recognition

Geert Verdoolaege, John Soldera, Thiarlei Macedo, 2014 .

Dictionaries of deep features for land-use scene classification of very high spatial resolution images

Jacob Scharcanski, Maciel Zortea, Eliezer S. Flores, 2019, Pattern Recognit..

Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach

Jacob Scharcanski, Daniel Welfer, Diane Ruschel Marinho, 2010, Comput. Biol. Medicine.

Color texture representation using multiscale feature boundaries

Helen C. Shen, Jacob Scharcanski, Jeff Hovis, 1992, Other Conferences.

Simulating Effects of Fiber Crimp, Flocculation, Density, and Orientation on Structure Statistics of Stochastic Fiber Networks

Jacob Scharcanski, C. T. J. Dodson, Robin T. Clarke, 2002, Simul..

Nonwoven Structure Statistics: Simulation of Effects of Fiber Crimp, Flocculation, Density and Orientation

J. Scharcanski, R. Clarke, C. Dodson, 2002 .

Monitoring the Quality of Non-Woven Textiles using Stochastic Texture Discrimination

Jacob Scharcanski, Christopher T. J. Dodson, C. Dodson, 1998 .

Local spatial anisotropy and its variability

Jacob Scharcanski, Christopher T. J. Dodson, C. Dodson, 1999 .

An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images

Jacob Scharcanski, Diego H. Milone, Leandro E. Di Persia, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging

Paul W. Fieguth, Jacob Scharcanski, Alexander Wong, 2011, IEEE Transactions on Information Technology in Biomedicine.

Automated prescreening of pigmented skin lesions using standard cameras

Jacob Scharcanski, Pablo Gautério Cavalcanti, J. Scharcanski, 2011, Comput. Medical Imaging Graph..

Shading Attenuation in Human Skin Color Images

Jacob Scharcanski, Carlos B. O. Lopes, Pablo Gautério Cavalcanti, 2010, ISVC.

Audiovisual Voice Activity Detection Based on Microphone Arrays and Color Information

Jacob Scharcanski, Carlos B. O. Lopes, Cláudio Rosito Jung, 2013, IEEE Journal of Selected Topics in Signal Processing.

Feature selection for face recognition based on multi-objective evolutionary wrappers

Jacob Scharcanski, Diego H. Milone, Leandro Daniel Vignolo, 2013, Expert Syst. Appl..

Phase-Adaptive Superresolution of Mammographic Images Using Complex Wavelets

Jacob Scharcanski, Alexander Wong, J. Scharcanski, 2009, IEEE Transactions on Image Processing.

Phase-Adaptive Superresolution of Mammographic Images

Alexander Wong, Jacob Scharcanski, J. Scharcanski, 2009 .

Classify-normalize-classify

Jacob Scharcanski, Maciel Zortea, Cesar Salgado, 2018, Earth Science Informatics.

Yawning Detection Using Embedded Smart Cameras

Jacob Scharcanski, Behnoosh Hariri, Mona Omidyeganeh, 2016, IEEE Transactions on Instrumentation and Measurement.

Stochastic texture image retrieval and similarity matching

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

Pigmented skin lesion segmentation on macroscopic images

Jacob Scharcanski, Yessenia Yari, Pablo G. Cavalcanti, 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

Automatic Skin Lesion Segmentation via Iterative

Jacob Scharcanski, Alexander Wong, Paul Fieguth, 2011 .

Part-Based Object Tracking Using Multiple Adaptive Correlation Filters

Jacob Scharcanski, Pablo Barcellos, J. Scharcanski, 2021, IEEE Transactions on Instrumentation and Measurement.

Representing the color aspect of texture images

Helen C. Shen, Jacob Scharcanski, Jeff K. Hovis, 1994, Pattern Recognit. Lett..

Colour quantisation for colour texture analysis

J. Scharcanski, Helen C. Shen, J. Scharcanski, 1993 .

Adaptive image denoising using scale and space consistency

Jacob Scharcanski, Cláudio Rosito Jung, Robin T. Clarke, 2002, IEEE Trans. Image Process..

Fovea center detection based on the retina anatomy and mathematical morphology

Jacob Scharcanski, Daniel Welfer, Diane Ruschel Marinho, 2011, Comput. Methods Programs Biomed..

Edge detection of color images using directional operators

Jacob Scharcanski, Anastasios N. Venetsanopoulos, A. Venetsanopoulos, 1997, IEEE Trans. Circuits Syst. Video Technol..

A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images

Jacob Scharcanski, Maciel Zortea, Eliezer S. Flores, 2017, Pattern Recognit..

A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images

Jacob Scharcanski, Daniel Welfer, Diane Ruschel Marinho, 2010, Comput. Medical Imaging Graph..

Echocardiographic Image Sequence Segmentation and Analysis Using Self-Organizing Maps

Jacob Scharcanski, Philippe Olivier Alexandre Navaux, Mozart Lemos de Siqueira, 2002, J. VLSI Signal Process..

Fetal echocardiographic image segmentation using neural networks

J. Scharcanski, Philippe O. A. Navaux, A. Dahmer, 1999 .

Stochastic texture analysis for monitoring stochastic processes in industry

Jacob Scharcanski, J. Scharcanski, 2005, Pattern Recognit. Lett..

Video Segmentation Based on Motion Coherence of Particles in a Video Sequence

Jacob Scharcanski, Luciano Silva da Silva, J. Scharcanski, 2010, IEEE Transactions on Image Processing.

Lung nodule segmentation in chest computed tomography using a novel background estimation method.

Jacob Scharcanski, David Koff, Jane Castelli, 2016, Quantitative imaging in medicine and surgery.

Enhancing the Performance of Active Shape Models in Face Recognition Applications

Jacob Scharcanski, Carlos A. R. Behaine, J. Scharcanski, 2012, IEEE Transactions on Instrumentation and Measurement.

A Particle-Filtering Approach for Vehicular Tracking Adaptive to Occlusions

Jacob Scharcanski, Yessenia Yari, Alessandro Bof de Oliveira, 2011, IEEE Transactions on Vehicular Technology.

Information geometric similarity measurement for near-random stochastic processes

Jacob Scharcanski, C. T. J. Dodson, J. Scharcanski, 2003, IEEE Trans. Syst. Man Cybern. Part A.

Image segmentation via multi-scale stochastic regional texture appearance models

Jacob Scharcanski, Alexander Wong, R. S. Medeiros, 2016, Comput. Vis. Image Underst..

Natural scene segmentation based on a stochastic texture region merging approach

Jacob Scharcanski, Alexander Wong, R. S. Medeiros, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Shadow detection in camera-based vehicle detection: survey and analysis

Jacob Scharcanski, Vitor Gomes, Pablo Barcellos, 2016, J. Electronic Imaging.

A novel video based system for detecting and counting vehicles at user-defined virtual loops

Jacob Scharcanski, Pablo Barcellos, Christiano Bouvié, 2015, Expert Syst. Appl..

Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition

John Soldera, Jacob Scharcanski, Carlos A. R. Behaine, 2015, IEEE Transactions on Instrumentation and Measurement.

An evolutionary wrapper for feature selection in face recognition applications

Jacob Scharcanski, Diego H. Milone, Leandro Daniel Vignolo, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

KSGphysio - Kinect serious game for physiotherapy

Jacob Scharcanski, Octavian Postolache, Nuno Duarte, 2014, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE).

Evaluating the mid-secretory endometrium appearance using hysteroscopic digital video summarization

Jacob Scharcanski, Wilson Gavião, J. Scharcanski, 2007, Image Vis. Comput..

Macroscopic Pigmented Skin Lesion Segmentation and Its Influence on Lesion Classification and Diagnosis

Jacob Scharcanski, Pablo G. Cavalcanti, J. Scharcanski, 2013 .

Sharpening Dermatological Color Images in the Wavelet Domain

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2009, IEEE Journal of Selected Topics in Signal Processing.

Denoising and enhancing digital mammographic images for visual screening

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2006, Comput. Medical Imaging Graph..

An adaptive approach to mammographic image denoising and enhancement

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2004, Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing.

Wavelet transform approach to adaptive image denoising and enhancement

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2004, J. Electronic Imaging.

Adaptive image denoising in scale-space using the wavelet transform

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Wavelet-based method for image filtering using scale-space continuity

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2001, J. Electronic Imaging.

A morphologic two-stage approach for automated optic disk detection in color eye fundus images

Jacob Scharcanski, Daniel Welfer, Diane Ruschel Marinho, 2013, Pattern Recognit. Lett..

An Adaptive Face Tracker with Application in Yawning Detection

Jacob Scharcanski, Aasim Khurshid, J. Scharcanski, 2020, Sensors.

Object tracking scheme using part-based correlation filters

Jacob Scharcanski, Pablo Barcellos, J. Scharcanski, 2020, 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Phase-shift and information measures for retinal motion detection and compensation with optimized parameter selection

Jacob Scharcanski, Lucas R. Schardosim, J. Scharcanski, 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

Motion detection and compensation in infrared retinal image sequences

Jacob Scharcanski, L. R. Schardosim, D. Santos, 2013, Comput. Medical Imaging Graph..

Motion detection in infrared retinal image sequences

Jacob Scharcanski, Lucas Schardosim, Daniel dos Santos, 2011, 2011 IEEE International Instrumentation and Measurement Technology Conference.

Table of Contents XVII Brazilian Symposium on Computer Graphics and Image ProcessingSIBGRAPI 2004 A joint event with II Ibero-American Symposium on Computer GraphicsSIACG 2004

J. Scharcanski, Hansenclever F. Bassani, Filipe Freitas, 2004 .

Face recognition based on geodesic distance approximations between multivariate normal distributions

John Soldera, Jacob Scharcanski, Kit Dodson, 2017, 2017 IEEE International Conference on Imaging Systems and Techniques (IST).

Texture Information in Melanocytic Skin Lesion Analysis Based on Standard Camera Images

Jacob Scharcanski, Pablo G. Cavalcanti, J. Scharcanski, 2014 .

Robust watershed segmentation using wavelets

Jacob Scharcanski, Cláudio Rosito Jung, C. Jung, 2005, Image Vis. Comput..

A two-stage approach for discriminating melanocytic skin lesions using standard cameras

Jacob Scharcanski, Gladimir V. G. Baranoski, Pablo Gautério Cavalcanti, 2013, Expert Syst. Appl..

Measuring Statistical Geometric Properties of Tomographic Images of Soils

Jacob Scharcanski, João Luiz Dihl Comba, Siovani Cintra Felipussi, 2008, IEEE Transactions on Instrumentation and Measurement.

Comparing Distance Measures Between Bivariate Gamma Processes

C. Dodson, J. Scharcanski, Khadiga Arwini, 2005 .

Simulating Colloidal Thickening: Virtual Papermaking

Jacob Scharcanski, C. T. J. Dodson, C. Dodson, 2000, Simul..