Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform

by   R. M. Farouk, et al.

One of the most challenging tasks in microarray image analysis is spot segmentation. A solution to this problem is to provide an algorithm than can be used to find any spot within the microarray image. Circular Hough Transformation (CHT) is a powerful feature extraction technique used in image analysis, computer vision, and digital image processing. CHT algorithm is applied on the cDNA microarray images to develop the accuracy and the efficiency of the spots localization, addressing and segmentation process. The purpose of the applied technique is to find imperfect instances of spots within a certain class of circles by applying a voting procedure on the cDNA microarray images for spots localization, addressing and characterizing the pixels of each spot into foreground pixels and background simultaneously. Intensive experiments on the University of North Carolina (UNC) microarray database indicate that the proposed method is superior to the K-means method and the Support vector machine (SVM). Keywords: Hough circle transformation, cDNA microarray image analysis, cDNA microarray image segmentation, spots localization and addressing, spots segmentation



There are no comments yet.


page 4

page 5

page 7

page 8

page 9


A Novel Approach for Image Segmentation based on Histograms computed from Hue-data

Computer Vision is growing day by day in terms of user specific applicat...

Bone marrow cells detection: A technique for the microscopic image analysis

In the detection of myeloproliferative, the number of cells in each type...

CobWeb - a toolbox for automatic tomographic image analysis based on machine learning techniques: application and examples

In this study, we introduce CobWeb 1.0 which is a graphical user interfa...

Image analysis for automatic measurement of crustose lichens

Lichens, organisms resulting from a symbiosis between a fungus and an al...

Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation

Image segmentation is a popular area of research in computer vision that...

Learning 2D Gabor Filters by Infinite Kernel Learning Regression

Gabor functions have wide-spread applications in image processing and co...

Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach

The paper concentrates on improvement of segmentation accuracy by addres...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.