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A New Fuzzy Skeletonization Algorithm and Its Applications to Medical Imaging [chapter]

Dakai Jin, Punam K. Saha
2013 Lecture Notes in Computer Science  
Skeletonization provides a simple yet compact representation of an object and is widely used in medical imaging applications including volumetric, structural, and topological analyses, object representation  ...  Here, a framework and an algorithm for fuzzy surface skeletonization are developed using a notion of fuzzy grassfire propagation which will minimize binarization related data loss.  ...  for all bran ation Algorithm and Its Applications to Medical Imaging gnificant curve-quench voxel if the largest LSF value and C is greater than a preset threshold.  ... 
doi:10.1007/978-3-642-41181-6_67 fatcat:drwe6iwlurby5nnd6nkpc3z4wi

A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path

Dakai Jin, Krishna S. Iyer, Eric A. Hoffman, Punam K. Saha
2014 2014 22nd International Conference on Pattern Recognition  
Starting from a root voxel, the method iteratively expands the skeleton by adding a new branch in each iteration that connects the farthest voxel to the current skeleton using a minimum-cost geodesic path  ...  Traditional arc skeletonization algorithms using the principle of Blum's transform, often, produce unwanted spurious branches due to boundary irregularities and digital effects on objects and other artifacts  ...  vision, pattern recognition, and medical imaging [13, 14] .  ... 
doi:10.1109/icpr.2014.172 pmid:25621320 pmcid:PMC4303904 dblp:conf/icpr/JinIHS14 fatcat:vr5qigpx5rh5vkreonrkx3eamu

Fuzzy Digital Topology and Geometry and Their Applications to Medical Imaging [chapter]

Punam K. Saha
2013 Lecture Notes in Computer Science  
The notions of digital topology and geometry are often intertwined in medical imaging applications and sometime it is difficult to draw a dividing line between them.  ...  This paper presents recent advancements and overviews of theory and computation of several fuzzy digital topologic and geometric approaches and describe their applications to medical imaging.  ...  This work was supported by the NIH grants R01-AR054439, R01-DE012101, and UL1-RR024979.  ... 
doi:10.1007/978-3-642-45062-4_2 fatcat:ao6o7wuhrvhhrinlxlhdw6zhbu

An Improved Canny Edge Detection Algorithm Based on Type-2 Fuzzy Sets

Ranita Biswas, Jaya Sil
2012 Procedia Technology - Elsevier  
Canny's edge detection algorithm is a classical and robust method for edge detection in gray-scale images.  ...  In this paper, we have proposed an algorithm based on the concept of type-2 fuzzy sets to handle uncertainties that automatically selects the threshold values needed to segment the gradient image using  ...  Introduction Most of the image processing applications require image segmentation to subdivide the images into its constituent regions or objects.  ... 
doi:10.1016/j.protcy.2012.05.134 fatcat:qbferjrogvg73mxbtsv3prz6xq

A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths

Dakai Jin, Krishna S. Iyer, Cheng Chen, Eric A. Hoffman, Punam K. Saha
2016 Pattern Recognition Letters  
This paper presents a new robust and efficient curve skeletonization algorithm for threedimensional (3-D) elongated fuzzy objects using a minimum cost path approach, which avoids spurious branches without  ...  Starting from a root voxel, the method iteratively expands the skeleton by adding new branches in each iteration that connects the farthest quench voxel to the current skeleton using a minimum cost path  ...  Acknowledgments The authors would like to thank Prof. Palágyi for kindly providing the source code of their thinning algorithm used in our comparative study. Also, the authors would like to thank Ms.  ... 
doi:10.1016/j.patrec.2015.04.002 pmid:27175043 pmcid:PMC4860741 fatcat:d2h6fxwuybh6hnogdi3wqwlmcq

Identification of the Dental Root Canal from Micro-CT Records Using 3D Curve Skeleton Extraction

Balázs Benyó, László Szilágyi, Csaba Dobó-Nagy
2011 IFAC Proceedings Volumes  
This paper presents a novel image processing procedure dedicated to the automated detection of the medial axis of the root canal from dental micro CT records.  ...  The 3D model of root canal is built up from several hundreds of parallel cross sections, using image enhancement and an enhanced fuzzy cmeans based partitioning, center point detection in the segmented  ...  Hong et al (2002) used both 2D radiographic and endoscopic images to build up a 3D tooth model, while Endo et al (2005) turned to ultrasonic imaging and implemented a fuzzy logic based root canal detection  ... 
doi:10.3182/20110828-6-it-1002.01718 fatcat:binb7f3j75audi5nunx7xkjypu

Review of Medical Image Classification using the Adaptive Neuro-Fuzzy Inference System

Monireh Sheikh Hosseini, Maryam Zekri
2012 Journal of Medical Signals & Sensors  
Automatic medical image classification is a progressive area in image classification, and it is expected to be more developed in the future.  ...  This paper reviews the application of the adaptive neuro-fuzzy inference system (ANFIS) as a classifier in medical image classification during the past 16 years.  ...  SEGMENTATION AND FEATURE EXTRACTION ALGORITHMS Image segmentation plays a crucial role in many medical imaging applications, especially in medical image classification.  ... 
pmid:23493054 pmcid:PMC3592505 fatcat:e52eavs36zhfhihnbfoyf5cigi

Preface [chapter]

Siddhartha Bhattacharyya, Indrajit Pan, Abhijit Das, Shibakali Gupta
2019 Intelligent Multimedia Data Analysis  
computation paradigm, is bringing in a new era of technology.  ...  As a result, different types of hybridization of soft computing techniques such as neuro-fuzzy, neuro-genetic, fuzzy-genetic, neuro-fuzzy-genetic, and rough-fuzzy, etc. are proposed to provide more robust  ...  Uncertainty based models play major roles in image processing in general and image segmentation leading to their applications in medical image processing and satellite image processing.  ... 
doi:10.1515/9783110552072-201 fatcat:3fupzqb4ebdypohgkquwplfana

Preliminary evaluation of a fuzzy logic-based automatic quantitative analysis in myocardial SPECT

Florent Cachin, Janusz Lipiecki, Danièle Mestas, Aimé Amonchot, Benjamin Geissler, Cyril Thouly, Jean Ponsonnaille, Jean Maublant
2003 Journal of Nuclear Medicine  
This study validates a new quantitative myocardial perfusion SPECT software.  ...  ACKNOWLEDGMENTS Thanks are due to Sopha Medical Vision International and General Electric Medical Systems (Buc, France) for their support.  ...  The robustness of the algorithm is possibly related to the combined application of mathematic morphology and fuzzy logic to scintigraphic imaging.  ... 
pmid:14530477 fatcat:f6s7mnoeyvhtnl5re5yqrm6cfa

Measurement of Trabecular Bone Thickness in the Limited Resolution Regime of In Vivo MRI by Fuzzy Distance Transform

P.K. Saha, F.W. Wehrli
2004 IEEE Transactions on Medical Imaging  
Here, we introduce a new fuzzy distance transform (FDT)-based thickness computation method that obviates binary segmentation and that can effectively deal with images acquired at a voxel size comparable  ...  The method's robustness is shown on the basis of -CT images of human trabecular bone, resampled at progressively coarser resolution and after application of rotation and addition of noise as a means to  ...  The authors also wish to acknowledge Scanco Medical AG for generating the -CT image of the cadaveric trabecular bone specimens [ Fig. 2(c) and (d) ].  ... 
doi:10.1109/tmi.2003.819925 pmid:14719687 fatcat:ahec3etft5dc5pzepqib33n3ue

Page 5221 of Mathematical Reviews Vol. , Issue 2002G [page]

2002 Mathematical Reviews  
Finally, we show some results on synthetic and medical images.  ...  Summary: “This paper presents a new approach to embedded image coding.  ... 

Automatic Fuzzy-based Hybrid Approach for Segmentation and Centerline Extraction of Main Coronary Arteries

Khadega Khaled, Mohamed A., Khaled Mostafa
2017 International Journal of Advanced Computer Science and Applications  
Then, the well-known Fuzzy c-mean algorithm is employed to detect the seed points for the region growing algorithm resulting in 3D binary volume.  ...  The proposed automatic hybrid segmentation approach combines the Hough transform with a fuzzy-based region growing algorithm.  ...  This new growing algorithm is used to produce a 3D volume binary data, which leads to faster extraction process of centerlines using skeletonization approach [19] .  ... 
doi:10.14569/ijacsa.2017.080633 fatcat:wd4o4yoeu5dqlg2ouw7xmimq34

To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic

Ravaljodh Singh, Lalita Bhutani
2016 International Journal of Computer Applications  
Keywords Skeletonization, Thinning of the image, PSNR and MSE.  ...  Many methods have been introduced in this area, but in this paper a new method has been proposed which is worked on the basis of skeletonization.  ...  Implementing existing algorithms: To implement the existing skeletonization algorithms using neural networks. 3. Proposing a new Method for skeletonization using neural networks.  ... 
doi:10.5120/ijca2016911492 fatcat:vakvi6eygrelpllydm35tjtvfu

3D Image Analysis and Artificial Intelligence for Bone Disease Classification

Abdurrahim Akgundogdu, Rachid Jennane, Gabriel Aufort, Claude Laurent Benhamou, Osman Nuri Ucan
2009 Journal of medical systems  
Here, we have developed various image processing and simulation techniques to investigate bone micro architecture and its mechanical stiffness.  ...  The performances of Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector Machines (SVM) and Genetic Algorithm (GA) in classifying the different samples have been compared.  ...  In recent years, the genetic algorithms are used in many medical applications [31] . The genetic algorithm repeatedly modifies a population of individual solutions.  ... 
doi:10.1007/s10916-009-9296-3 pmid:20703627 fatcat:2c6ysfxelvfnjehjm2wt76aij4

Automatic boundary extraction and rectification of bony tissue in CT images using artificial intelligence techniques

Matthew F. Y. Kwan, Kie C. Cheung, Ian R. Gibson, Kenneth M. Hanson
2000 Medical Imaging 2000: Image Processing  
ACKNOWLEDGEMENTS We are indebted to Dr. William Lu from the Department of Orthopaedic Surgeiy at the University of Hong Kong for his valuable help and comments. We also wish to thank Prof.  ...  Wilfred Peh and the Department of Diagnostic Radiology at the University ofHong Kong for their support in obtaining the CT scan data.  ...  They are usually reconstructed from two-dimensional medical image data such as CT and MRI scans.  ... 
doi:10.1117/12.387755 dblp:conf/miip/KwanCG00 fatcat:7rmntvmmzzdmvjihvd2vh32vlq
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