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ImageJ's plugin for directional analysis in images: color-coded analysis, distribution of orientation, vector field, keypoint detection
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Daniel Sage
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README.md

OrientationJ

ImageJ plugins for directional analysis in images

Written by Daniel Sage at the Biomedical Image Group (BIG), EPFL, Switzerland

Outline

The aim is to characterize the orientation and isotropy properties of a region of interest (ROI) in an image, based on the evaluation of the gradient structure tensor in a local neighborhood. The theoretical background is fully described in this PDF document. The software OrientationJ automates the orientation analysis. It is a series of Java plugins for ImageJ. OrientationJ has four functionalities: performing a visual representation of the orientation of a image, creation of a vector field map, plotting the distribution of orientations, and detection of keypoints (Harris Corner). OrientationJ has also others tools: the manual measurement of the orientation and coherency in a ROI, the computation of the dominant orientation, the alignment of images based on the gradient structure tensor and some test images (chirp).

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