Mosaicing of microscope images with global geometric and radiometric corrections

Image mosaicing has found a number of applications such as panoramic imaging, digital terrain mapping, ophthalmology and virtual microscopy. In this study, we present an automated mosaicing technique for generating virtual slides from microscope images. We carried out robust image feature matching and global geometric and radiometric parameter estimation. The input images were transformed using the estimated geometric and radiometric parameters and mosaiced together, producing accurate registration of overlapping regions without visible seams.

[1]  Syed Z. Ali,et al.  Application of virtual microscopy in clinical cytopathology , 2001, Diagnostic cytopathology.

[2]  David J Romer,et al.  Using a modified standard microscope to generate virtual slides. , 2003, Anatomical record. Part B, New anatomist.

[3]  Kenichi Kanatani,et al.  Robust Image Matching Preserving Global Consistency , 2003 .

[4]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[5]  Rachid Deriche,et al.  A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry , 1995, Artif. Intell..

[6]  Andrew P. Bradley,et al.  Towards Optimal Image Stitching for Virtual Microscopy , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

[7]  F J Leong,et al.  Automated complete slide digitization: a medium for simultaneous viewing by multiple pathologists , 2001, The Journal of pathology.

[8]  F. Demichelis,et al.  The virtual case: a new method to completely digitize cytological and histological slides , 2002, Virchows Archiv.

[9]  B. Molnár,et al.  Digital slide and virtual microscopy based routine and telepathology evaluation of routine gastrointestinal biopsy specimens , 2003, Journal of clinical pathology.

[10]  Yongjin Zhou,et al.  Inverse image alignment method for image mosaicing and video stabilization in fundus indocyanine green angiography under confocal scanning laser ophthalmoscope. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[11]  Subhasis Chaudhuri,et al.  Automated assembling of images: image montage preparation , 1995, Pattern Recognit..

[12]  Richard Szeliski,et al.  Construction of Panoramic Image Mosaics with Global and Local Alignment , 2001 .

[13]  B. Roysam,et al.  Image processing algorithms for retinal montage synthesis, mapping, and real-time location determination , 1998, IEEE Transactions on Biomedical Engineering.

[14]  William A. Barrett,et al.  Globally Optimal Image Mosaics , 1998, Graphics Interface.

[15]  B. Molnár,et al.  Digital slide and virtual microscopy based routine and telepathology evaluation of routine gastrointestinal biopsy specimens , 2003 .

[16]  T Harris,et al.  Comparison of a virtual microscope laboratory to a regular microscope laboratory for teaching histology , 2001, The Anatomical record.

[17]  Andrew Zisserman,et al.  Automated mosaicing with super-resolution zoom , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[18]  Karsten Schlüns,et al.  The virtual microscope for routine pathology based on a PACS system for 6 Gb images , 2003, CARS.

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

[20]  Charles A Blake,et al.  Teaching medical histology at the University of South Carolina School of Medicine: Transition to virtual slides and virtual microscopes. , 2003, Anatomical record. Part B, New anatomist.

[21]  Richard Szeliski,et al.  Systems and Experiment Paper: Construction of Panoramic Image Mosaics with Global and Local Alignment , 2000, International Journal of Computer Vision.

[22]  S R Ott,et al.  Acquisition of high‐resolution digital images in video microscopy: Automated image mosaicking on a desktop microcomputer , 1997, Microscopy research and technique.

[23]  A. O. Dennis Willows,et al.  Computer-assisted visualizations of neural networks: expanding the field of view using seamless confocal montaging , 2000, Journal of Neuroscience Methods.

[24]  Paul Mills,et al.  Virtual Microscopy with Extended Depth of Field , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

[25]  Francesco Isgrò,et al.  A fast and robust image registration method based on an early consensus paradigm , 2004, Pattern Recognit. Lett..