An imaging system includes an imaging scope, a camera, an image processor, and a system controller. The imaging scope is configured to illuminate an object and capture light reflected from the object. The camera has a light sensor with a light-sensitive surface configured to receive the captured light from the imaging scope, and generate a digital image representative of the captured light. The image processor is configured to receive the digital image from the camera, and use at least one of a random sample consensus (RANSAC) technique and a Hough Transform technique to (i) identify a boundary between an active portion and an inactive portion of the digital image and (ii) generate boundary data indicative of a characteristic of the boundary. The system controller is configured to receive the boundary data from the image processor, and use the boundary data to select and/or adjust a setting of the imaging system.
Exposure Control Method And System For An Image Capture Device
Improved exposure control processes, devices, and systems are provided for wide angle lens imaging systems that suffer from image distortion. The exposure control uses a model of the wide angle lens distortion that estimates the weights that respective pixels of the image would have when producing an undistorted version of the image signal, and then scales pixel intensity values by the respective weights to produce weighted pixel values. The weighted pixel values are provided to an exposure control pixel counting process to produce one or more exposure feedback control signals, which control exposure features of the imaging system.
Endoscopic Video System With Dynamic Contrast And Detail Enhancement
Martin Steiner - Goleta CA, US Jonathan Bormet - Goleta CA, US Gaurav Sharma - Goleta CA, US
International Classification:
H04N 7/18
US Classification:
348607
Abstract:
A method and system for real time luminance correction and detail enhancement of a video image including the steps of extracting a luminance component from a video image, separating the luminance component into an illumination layer and a scene reflectivity layer, the illumination layer having a dynamic range, compressing the dynamic range of the illumination layer to generate a corrected illumination layer, filtering the reflectivity layer to generate an enhanced reflectivity layer; and combining the corrected illumination layer with the enhanced scene reflectivity layer to generate an enhanced luminance image, is provided. A system for real time luminance correction and detail enhancement of a video image is also provided.
Karl Storz Imaging
Senior Image Processing Engineer
Karl Storz Imaging Jun 2009 - Sep 2010
Image Processing Engineer Intern
Uc Santa Barbara Jan 2008 - Jun 2009
Graduate Student Resarcher
Uc Santa Barbara Jun 2008 - Jun 2009
Teaching Assistant
Toyon Research Corporation Sep 2006 - Mar 2007
Undergraduate Researcher, Ucsb
Education:
Uc Santa Barbara 2007 - 2009
Master of Science, Masters, Computer Engineering
Uc Santa Barbara 2003 - 2007
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Matlab Image Processing Video Processing Fpga Prototyping System Generator Digital Signal Processing Signal Processing Computer Vision Simulink Systolic Processing Architectures
Jon Bormet (1968-1972), Kim Burch (1984-1988), Melissa Glon (1982-1986), David Klockow (1979-1983), Fred Bullinger (1967-1971), Elaine Fitzgerald (1965-1969)