Proposal For a Vision-Based Cell Morphology Analysis System

One of the fields where image processing finds its application but that remains as anunexplored territory is the analysis of cell morphology. This master thesis proposes a systemto carry out this research and sets the necessary technical basis to make it feasible, rangingfrom the processing of time-lapse sequences using image segmentation to the representation…


1. Aims and Objectives
2. Introduction
2.1. Project Background
2.2. Time-Lapse Imaging
2.3. Image Segmentation in Cell Morphology
2.4. A starting path
3. Methodology
3.1. Time-Lapse Imaging
3.2. Cell Morphology Analysis, MATLAB® and Other Applications
3.3. Cell Image Segmentation Algorithms
3.3.1. Segmentation Pre-processing
3.3.2. Edge Finding Method. Sobel & Canny Algorithm
3.3.3. Region Growing Algorithm
3.3.4. Late Improvements
3.3.5. Complex Algorithms: Marked Watershed Segmentation Background: Setting up the Cell Watershed Problem Marked Watershed Algorithm
3.4. Cell Morphology Representation and Description
3.4.1. A Brief Note About Image Representation and Description
3.4.2. Shape Related Cell Morphological Attributes Shape Representation: Chain Codes Shape Description
3.4.3. Internal Cell Morphological Attributes Regional Descriptors
3.4.4. Other interesting parameters in cell morphology: Cell Outgrowth
3.4.5. Future Development
Jaime González García. Linköping 2008 7“Proposal for a vision-based cell morphology analysis system”
3.5. Integrating the Cell Morphology Research Algorithms Into an Application: TLSP.
Time Lapse Sequence Processor
3.5.1. Background
3.5.2. Initial Aims
3.5.3. Application Attributes
3.5.4. Extended goals: Future Development
4. Results
4.1. Cell Segmentation
4.1.1. Time-Lapse Image Analysis
4.1.2. Edge-detection Methods
4.1.3. Region-growing Methods
4.1.4. Morphological Watershed Methods
4.1.5. Summary
4.2. Cell Morphology Representation and Description. Outlines For a Cell Recognition
4.2.1. A Brief Introduction to Pattern Recognition Theory
4.2.2. Pattern Recognition Theory Applied to Cell Morphology Cell quantitative features and pattern matching Cell qualitative features and shape number matching
4.3. TLSP
4.3.1. TLSP v0.1 BETA
4.3.2. TLSP v0.2 TLSP v0.2 Alpha
5. Conclusions
5.1. Cell Morphology Research and Cell Image Segmentation
5.2. Future Work and Possible Improvements
5.2.1. Cell segmentation Pre-processing algorithms Segmentation techniques Other processing algorithms
Jaime González García. Linköping 2008 8“Proposal for a vision-based cell morphology analysis system”
5.2.2. Cell Representation and Description Cell Representation Cell Descriptors
5.2.3. Cell Recognition System
5.2.4. The Cell Lineage Project. Cell Morphology Through Time
5.2.5. TLSP TLSP v0.2
6. Appendix I. A Brief Note About Segmentation
6.1. Basic Image Processing Operations
6.1.1. Point operations…

Author: González García, Jaime

Source: Linköping University

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