A fundamental problem in color image processing is the integration of the physical laws of light reflection into image processing results, the problem known as photometric invariance. The derivation of object properties from color images yields the extraction of geometric and photometric invariants from color images. Photometric invariance is to be derived from the physics of reflection. In thi...

Title of Dissertation: REGISTRATION METHODS FOR QUANTITATIVE IMAGING Gustavo Kunde Rohde, Doctor of Philosophy, 2005 Dissertation directed by: Professor Carlos A. Berenstein and Professor Dennis M. Healy Jr. Department of Mathematics At the core of most image registration problems is determining a spatial transformation that relates the physical coordinates of two or more images. Registration m...

Vision researchers base their work on assumptions that lenses behave ideally. In practice the image formation process is complex and camera lenses have many non-ideal behaviors that can cause problems in simple vision tasks like color image analysis and range from focus. For example, unlike the ideal lens the refractive power of a real lens is actually a function of wavelength. This means that ...

The work presents a methodology contributing to boundary extraction in images of approximate polyhedral objects. We make extensive use of basic principles underlying the process of image formation and thus reduce the role of object-specific knowledge. Simple configurations of line segments are extracted subject to geometricphotometric compatibilities. The perceptual organization into polygonal ...

A comparison is made between several scalar models for the formation of an image in a photoresist film with differing approximations and a vector model. It was found that up to numerical apertures of 0.7, a full scalar model showed no appreciable deviation from the vector model. However, when several common assumptions were made to simplify the scalar model, significant errors resulted at the h...