An Efficient Descriptor Based on Radial Line Integration for Fast Non-invariant Matching and Registration of Microscopy Images

Descriptors such as SURF and SIFT contain a framework for handling rotation and scale invariance, which generally is not needed when registration and stitching of images in microscopy is the focus. Instead speed and efficiency are more important factors. We propose a descriptor that performs very well for these criteria, which is based on the idea of radial line integration. The result is a descriptor that outperforms both SURF and SIFT when it comes to speed and the number of inliers, even for rather short descriptors.

[1]  Andrea Marchetti,et al.  Optimal RANSAC-Towards a Repeatable Algorithm for Finding the Optimal Set , 2013, J. WSCG.

[2]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[3]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[4]  Gustavo Carneiro,et al.  Phase-Based Local Features , 2002, ECCV.

[5]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.

[6]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[7]  Jan-Michael Frahm,et al.  A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus , 2008, ECCV.

[8]  B. S. Manjunath,et al.  A Mathematical Comparison of Point Detectors , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[9]  Radu Hristu,et al.  On the suitability of SIFT technique to deal with image modifications specific to confocal scanning laser microscopy. , 2010, Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada.

[10]  Kim-Hui Yap,et al.  Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Jinwhan Kim,et al.  Efficient image mosaicing for multi-robot visual underwater mapping , 2014, Pattern Recognit. Lett..

[12]  Adrien Bartoli,et al.  Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces , 2013, BMVC.

[13]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[14]  D. Lowe,et al.  Fast Matching of Binary Features , 2012, 2012 Ninth Conference on Computer and Robot Vision.

[15]  Jiri Matas,et al.  Locally Optimized RANSAC , 2003, DAGM-Symposium.

[16]  Wei-Yen Hsu,et al.  Automatic seamless mosaicing of microscopic images: enhancing appearance with colour degradation compensation and wavelet‐based blending , 2008, Journal of microscopy.

[17]  Anders Hast,et al.  Faster shading by equal angle interpolation of vectors , 2004, IEEE Transactions on Visualization and Computer Graphics.

[18]  Cordelia Schmid,et al.  Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.

[19]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[20]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .

[21]  Hui Chen,et al.  Mosaicing of microscope images based on SURF , 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

[22]  Li Chen,et al.  A Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution , 2007, IEEE Transactions on Image Processing.

[23]  Anders Hast,et al.  A Simple and Efficient Feature Descriptor for Fast Matching , 2015, WSCG 2015.

[24]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[25]  Sung-Hyuk Cha Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions , 2007 .

[26]  David G. Lowe,et al.  Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.

[27]  Anders Hast,et al.  Incremental Spherical Linear Interpolation , 2004 .

[28]  Andrea Marchetti,et al.  Rotation invariant feature matching-based on Gaussian filtered log polar transform and phase correlation , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

[29]  Yan Dong,et al.  Automatic Registration Based on Improved SIFT for Medical Microscopic Sequence Images , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[30]  Thomas B. Moeslund,et al.  Super-resolution: a comprehensive survey , 2014, Machine Vision and Applications.

[31]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[32]  Gustavo Carneiro,et al.  Multi-scale phase-based local features , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[33]  Allen R. Tannenbaum,et al.  A new distance measure based on generalized Image Normalized Cross-Correlation for robust video tracking and image recognition , 2013, Pattern Recognit. Lett..

[34]  Tobias Höllerer,et al.  Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking , 2011, International Journal of Computer Vision.

[35]  Steven Mills,et al.  Real-time aerial image mosaicing , 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

[36]  Roland Siegwart,et al.  BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.

[37]  Changming Sun,et al.  Mosaicing of microscope images with global geometric and radiometric corrections , 2006, Journal of microscopy.

[38]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[39]  George Wolberg,et al.  Robust image registration using log-polar transform , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[40]  C. Morandi,et al.  Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.

[42]  Suprava Patnaik,et al.  Image Registration Using Log Polar Transform and Phase Correlation to Recover Higher Scale , 2012 .

[43]  Anders Hast Robust and Invariant Phase Based Local Feature Matching , 2014, 2014 22nd International Conference on Pattern Recognition.

[44]  David Capel Image Mosaicing and Super-Resolution (Cphc/Bcs Distinguished Dissertations.) , 2004 .

[45]  Andrea Vedaldi,et al.  Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.

[46]  P. V. Lukashevich,et al.  Medical image registration based on SURF detector , 2011, Pattern Recognition and Image Analysis.

[47]  Jon Louis Bentley,et al.  An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1977, TOMS.

[48]  Eduardo Romero,et al.  Virtual slide mosaicing using feature descriptors and a registration consistency measure , 2013, Other Conferences.

[49]  Amir Averbuch,et al.  A projection-based extension to phase correlation image alignment , 2007, Signal Process..

[50]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[51]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[52]  Matthew A. Brown,et al.  Automatic Panoramic Image Stitching using Invariant Features , 2007, International Journal of Computer Vision.

[53]  Vincent Lepetit,et al.  BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.

[54]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[55]  Alexandr Andoni,et al.  Nearest neighbor search : the old, the new, and the impossible , 2009 .

[56]  Edwin R. Hancock,et al.  A statistical approach to sparse multi-scale phase-based stereo , 2007, Pattern Recognit..

[57]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[58]  B. N. Chatterji,et al.  An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..

[59]  Adrien Bartoli,et al.  KAZE Features , 2012, ECCV.

[60]  Qing Li,et al.  A Panoramic Image Registration Algorithm Based on SURF , 2012 .

[61]  Pierre Vandergheynst,et al.  FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.