Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 11, Issue 7, Pages 790-801Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2002.800888
Keywords
across-scales validation; branch detection; confocal microscopy; segmentation; skeletonization; 3-D multiscale curvature; 3-D neuronal data; 3-D-wavelet edge detection
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In this work, we focus on methods for the preprocessing of neurons from three-dimensional (3-D) confocal microscopy images, which are needed for a subsequent detailed morphologic analysis [7]. Due to the specific image properties of confocal microscopy scans, we had to include several heuristic approaches which are based on multiscale edges [17] to guarantee meaningful results: 1) a reliable segmentation of objects of different sizes independent of image contrast, and, based on it, 2) the computation of skeleton points along the branch central axes, and 3) the reliable detection of branching points and of problematic regions. These are preprocessing steps to gather information which is needed by the subsequent construction of a graph representing the geometry of the neuron [27] and a final surface reconstruction [31].
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