scholarly journals Special issue on microscopic image processing

2014 ◽  
Vol 8 (S1) ◽  
pp. 1-3 ◽  
Author(s):  
Kivanc Kose ◽  
Rengul Cetin-Atalay ◽  
A. Enis Cetin
Keyword(s):  
Image Processing ◽  
Microscopic Image ◽  
Special Issue ◽  
Microscopic Image Processing

Biomedical Microscopic Image Processing by Graphs

2010 ◽  
pp. 197-213
Author(s):  
Vinh-Thong Ta ◽  
Olivier Lézoray ◽  
Abderrahim Elmoataz
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Image Filtering ◽  
Microscopic Image ◽  
Histological Image ◽  
Supervised Clustering ◽  
Arbitrary Structure ◽  
Microscopic Image Processing ◽  
Discrete Domain

The authors present an overview of part of their work on graph-based regularization. Introduced first in order to smooth and filter images, the authors have extended these methods to address semi-supervised clustering and segmentation of any discrete domain that can be represented by a graph of arbitrary structure. This framework unifies, within a same formulation, methods from machine learning and image processing communities. In this chapter, the authors propose to show how these graph-based approaches can lead to a useful set of tools that can be combined altogether to address various image processing problems in pathology such as cytological and histological image filtering, segmentation and classification.

scholarly journals Colour model analysis for microscopic image processing

2008 ◽  
Vol 3 (Suppl 1) ◽  
pp. S18 ◽  
Author(s):  
Gloria Bueno ◽  
Roberto González ◽  
Oscar Déniz ◽  
Jesús González ◽  
Marcial García-Rojo
Keyword(s):  
Image Processing ◽  
Model Analysis ◽  
Microscopic Image ◽  
Microscopic Image Processing
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