Method for characterizing an image source utilizing predetermined color spaces
A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical, chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured.
1 . A method, comprising:
receiving a series of images; and
mapping the series of images to at least one predetermined color space to yield at least one template that is representative of a source of the images.
2 . The method of claim 1 , wherein the series of images comprise a series of hyperspectral images.
3 . The method of claim 1 , wherein the series of images comprise a series of satellite images.
4 . The method of claim 1 , wherein the series of images comprise a series of infrared images.
5 . The method of claim 1 , wherein the series of images comprise a series of laser radar images.
6 . The method of claim 1 , wherein the series of images comprise a series of x-ray images and the source of the images comprises an x-ray imaging machine.
7 . The method of claim 1 , wherein the series of images comprise a series of infrared images and the source of the images comprises a forward looking infrared (FLIR) system.
8 . The method of claim 1 , wherein the series of images comprise a series of magnetic resonance images and the source of the images comprises a magnetic resonance imaging (MRI) machine.
9 . The method of claim 1 , wherein the series of images comprise a series of positron emission tomography (PET) images and the source of the images comprises a PET machine.
10 . The method of claim 1 , wherein the series of images comprise a series of laser radar images and the source of the images comprises a laser radar imaging system.
11 . The method of claim 1 , wherein the source of the images comprises a camera.
12 . The method of claim 11 , wherein the camera comprises a digital camera.
13 . The method of claim 1 , wherein the series of images comprise a series of ultrasound images and the source of the images comprises an ultrasound imaging system.
14 . The method of claim 1 , wherein the series of images comprise a series of ultrasound images.
15 . The method of claim 1 , wherein the source of the images comprises a radar system.
16 . The method of claim 1 , wherein the source of the images comprises a phased-array radar system.
17 . The method of claim 1 , wherein the series of images comprise a series of medical images.
18 . The method of claim 1 , wherein the series of images comprise a series of grey-scale images.