ELLIPSE DETECTION ON EMBRYO IMAGING USING RANDOM SAMPLE CONSENSUS (RANSAC) METHOD BASED ON ARC SEGMENT

In Vitro Fertilization (IVF) is a method which is used to help couples who have a fertility problem. One of the problems of IVF is the success rate, which is only about 30%. One cause of the problem is the embryo morphology observation done by embryologist manually. Morphologically normal embryo does not mean the embryos are genetically normal. The aforementioned phenomena can be tested by using time lapse recording in which unavailable in the manual observation. Therefore it is very important to establish method for time lapsed recording of the embryos. This can be done by automatic observation on the embryo image, where the first step is to create a system that can automatically detect the embryo. This paper proposed Random Sample Consensus (RANSAC) method based on Arc Segment to automatically detect embryo.

[1]  Wisnu Jatmiko,et al.  Automatic detection of embryo using Particle Swarm Optimization based Hough Transform , 2013, MHS2013.

[2]  Cuneyt Akinlar,et al.  Edpf: a Real-Time parameter-Free Edge Segment Detector with a False Detection Control , 2012, Int. J. Pattern Recognit. Artif. Intell..

[3]  Jean-Michel Morel,et al.  From Gestalt Theory to Image Analysis: A Probabilistic Approach , 2007 .

[4]  M. A. M. A. El-Shenawy.  Automatic detection and identification of cells in digital images of day 2 IVF embryos , 2013 .

[5]  Cuneyt Akinlar,et al.  EDCircles: A real-time circle detector with a false detection control , 2013, Pattern Recognit..

[6]  Andrew W. Fitzgibbon,et al.  Direct Least Square Fitting of Ellipses , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Wisnu Jatmiko,et al.  Ellipse detection on embryo image using modification of arc Particle Swarm Optimization (ArcPSO) based arc segment , 2015, 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

[8]  Cuneyt Akinlar,et al.  EDLines: A real-time line segment detector with a false detection control , 2011, Pattern Recognit. Lett..

[9]  Lionel Moisan,et al.  Meaningful Alignments , 2000, International Journal of Computer Vision.

[10]  Wisnu Jatmiko,et al.  ArcPSO: Ellipse detection method using particle swarm optimization and arc combination , 2014, 2014 International Conference on Advanced Computer Science and Information System.

[11]  Yanhui Guo,et al.  A novel Hough transform based on eliminating particle swarm optimization and its applications , 2008, Pattern Recognit..

[12]  M. Meseguer,et al.  The use of morphokinetics as a predictor of embryo implantation. , 2011, Human reproduction.

[13]  Alessandro Sarti,et al.  Cell morphodynamics visualization from images of zebrafish embryogenesis , 2010, Comput. Medical Imaging Graph..

[14]  Diana Purwitasari,et al.  Overlapping White Blood Cell Segmentation And Counting On Microscopic Blood Cell Images , 2014 .

[15]  Michael Werman,et al.  Ellipses from triangles , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[16]  Ngai Ming Kwok,et al.  A survey on ellipse detection methods , 2012, 2012 IEEE International Symposium on Industrial Electronics.

[17]  Jinglu Tan,et al.  Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT) , 2008, Pattern Recognit..

[18]  Rafael Grompone von Gioi,et al.  LSD: a Line Segment Detector , 2012, Image Process. Line.

[19]  Prasanna Rangarajan,et al.  Hyper least squares fitting of circles and ellipses , 2011, Comput. Stat. Data Anal..

[20]  Sani M. Isa,et al.  Performance Analysis of ECG Signal Compression using SPIHT , 2013 .

[21]  Wisnu Jatmiko,et al.  A Novel Knowledge-Compatibility Benchmarker for Semantic Segmentation , 2015 .

[22]  Rita Cucchiara,et al.  A fast and effective ellipse detector for embedded vision applications , 2014, Pattern Recognit..

[23]  Cuneyt Akinlar,et al.  Edge Drawing: A combined real-time edge and segment detector , 2012, J. Vis. Commun. Image Represent..