MORPHEME - 2019 - Annual activity report

MORPHEME

MORPHEME - 2019

Project-Team Morpheme

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Research program

Highlights of the Year

New Software and Platforms

Obj.MPP
ATOLS
Small particle detection

New Results

Exact biconvex reformulation of the $ℓ_{2} - ℓ_{0}$ minimization problem
Biological Image Super-resolution Enhanced with Tensor
Classification and Modeling of the Fibronectin Networks in Extracellular Matrices
Classification of the Fibronectin Networks in Extracellular Matrices using CNN and DAG-SVM of confocal and coverslip scanner images
Tumor cell tracking for automatic detection of cell death time, and classification of its type
Cytoplasm segmentation from cells confocal microscopy images
Adaptative thresholding using persistent diagrams
Graph matching and median graph through simulating annealing
Botrytis cinerea phenotype recognition and classification: toward the establishment of links between phenotypes and antifungal molecules
Estimating the volume of a copepod from a single image with Deep Learning
Cell lineage calculation
Morphogenesis of the sea urchin embryo
3D Coronary vessel tracking in x-ray projections

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year
References in notes

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Section: New Software and Platforms

ATOLS

Adaptative Threshold Operator based on Level Sets

Keywords: Object detection - Level Set

Functional Description: Atols is a Python script allowing to detect features on images using a contrast scoring. Thus, it's possible to detect features at different levels of intensity unlike a simple threshold which would only keep features above its value.

Authors: Kevin Giulietti and Guillaume Lavisse
Contact: Xavier Descombes
URL: https://team.inria.fr/morpheme/software/

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