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Title: Morpho-Hawk

Morpho-Hawk applies projectional mathematical morphology in a fundamentally new way. Morpho-Hawk extracts object information from digital images by filtering with simple geometrical figures such as rectangles or simple curves. Two core algorithms are used to accomplish this: 1) Object Detection and Feature Extraction from Images: Using projectional morphology, Morpho-Hawk finds features of interest within an image, such as contours, shapes, colors, infrared spectra, and more. Because Morpho-Hawk identifies features based on shape or form, the method can uniquely handle different image or object conditions and directions. MorphoHawk can evaluate all possible images of the analyzed scene using the same transformations that are applied just to one image of that scene. Hence, recognizing a defect within an image or part of an image provides information to assist in recognizing other objects in the image. In addition, known background image information can be morphologically subtracted out in order to focus on the appearance or disappearance of the features of interest. 2) Object Analysis: Upon detection of an object of interest, Morpho-Hawk can analyze the object based learned information from prior images or end-user defined criteria for certain object of special interest by selecting feature (e.g., color, size, shape, apparent volume) and/or symbolmore » (e.g., letter, number). The novel algorithm can analyze targeted objects, even as conditions of such as illumination, shadows, and spectral regions change strongly in following images as compared to the original image. This enables robust recognition, interpolation and prediction. As the analysis shows the presence of these features in the optical signal, the algorithm can make a determination based on user defined probability. The object information can be stored for later analysis using simple morphological data compression methods and/or retention of the original optical images.« less
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Software Package Contents:
Media Directory; Software Abstract; Media includes Source Code; / 1 CD-ROM
Software CPU:
Open Source:
Source Code Available:
Other Software Info:
The MORPHOHAWK software is considered to be controlled as EAR 99, No License Required (NLR) and still subject to all U.S. Export Control regulations. EAR99 items are not able to be exported to IRAN, CUBA, SUDAN, SYRIA or NORTH KOREA currently or to nationals of those countries.
Research Org:
Idaho National Laboratory
Sponsoring Org:
Contributing Orgs:
Michael V. Glazoff Kevin L. Gering Professor Yuri P. Pyt’ev
Country of Publication:
United States

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