The program computes the local orientation and the local coherency. In the left example, the original image ( source) is used as input of the structure tensor computation. With the orientation being typically encoded in the color (hue). The equations above and are then visualized as gray level or color images The local orientation properties are computed according to The structure tensor for each pixel in the image by sliding the Gaussian analysis window Size of a Gaussian-shaped window, and the program computes Qualitative or visual mode: the user specifies the OrientationJ has a companion plugin MonogenicJ that performs multiresolutionĬircular color map coding, Courtesy of Urszula Zajaczkowska. It is a open source project available on GitHub. OrientationJ is a software package which consists of a series of plugins for ImageJ and Fiji. The computation of the dominant orientation, the alignment of images based on the gradient structure tensor OrientationJ has also others tools: the manual measurement of the orientation and coherency in a ROI, Plotting the distribution of orientations,Īnd detection of keypoints (Harris Corner). Performing a visual representation of the orientation of a image, The software package OrientationJ automates the orientation analysis with four functionalities: The theoretical background is fully described in this PDF document. On the evaluation of the gradient structure tensor in a local neighborhood. The aim is to characterize the orientation and isotropy properties of a region of interest (ROI) in an image, based

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