Gray-scale image processing algorithms using finite-state machine concepts
NSF-supported undergraduate machine vision research activities [3521-45]
Grassfire transform using finite-state machines [4567-19]
Grayscale template-matching using finite-state machines [4567-18]
High-speed image processing algorithms using MMX hardware [3205-17]
Hardware considerations for illumination-invariant image processing [2347-27]
Efficient algorithm for Gaussian blur using finite-state machines [3521-37]
Software implementation of 2D gray-level dilation using SKIPSM [3205-18]
Detection of secondary reflections using morphology [2347-28]
Using Gnu C to develop PC-based vision systems [2597-31]
Determination of geometric stability of glass substrates using machine vision [2597-21]
Fast image processing using finite-state machines: software implementations [5265-23]
Very low cost in-process gauging system [3521-02]
Image processing benchmark study [3521-03]
Camera performance considerations for automotive applications [5265-22]
Color AC plasma panel barrier measurement system [2908-04]
Slant correction for handwritten English documents (Invited Paper) [5606-01]
Background removal for check processing using morphology [5606-04]