A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Image Stitching - Comparisons and New Techniques
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Intensity based multi-scale blending for panoramic images in fluorescence endoscopy
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Real-time image composition of bladder mosaics in fluorescence endoscopy
Computer Science - Research and Development
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The composition of panoramic images of the internal urinary bladder wall from single endoscope images can strongly support the off-line documentation and surgery planning for cancer treatment, as well as assist the re-identification of multi-focal tumors during a cystoscopy. Unlike white light endoscopy, fluorescence techniques such as photodynamic diagnostics (PDD) lower the risk of missing flat and small tumors due to an enhanced tissue contrast. As a result of the low illumination power and the free hand movement of the endoscope, PDD video sequences usually show strong variations in illumination and resolution. During the subsequent mosaicking and blending process, these effects impede the preservation of original and unbiased input image information in the composed panoramic overview image, and make it difficult to avoid visual interpolation artifacts. Thus, a non-linear intensity based multi-scale blending method for fluorescence images is developed. Based on a highest intensity decision, a region mask modeling the endoscopic illumination characteristic is used to weight the input images on several sub-bands of a Laplacian pyramid. In comparison to basic linear interpolation and standard multi-scale methods the new method preserves high fluorescence intensities as well as fine vessel structures in the final image composition. Furthermore the adaptive characteristics of the blending algorithm allow the physician to move the endoscope more freely along the bladder wall during the image mosaicking process.