This inventor holds 3 USPTO granted patents. Top assignees: Lucent Technologies Inc., Other. Active years: 1998-1999.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 1998-1999
Title: Muid Ur-Rehman Mufti: Innovator in Image Analysis Technology
Introduction
Muid Ur-Rehman Mufti is an accomplished inventor based in Atlanta, GA (US). He has made significant contributions to the field of image analysis technology, holding a total of 3 patents. His innovative work focuses on developing systems that enhance the detection and identification of segments and defects in digitized images.
Latest Patents
One of his latest patents is a segment detection system and method. This system automatically, contactlessly, rapidly, and precisely detects a segment along an edge, such as a boundary, of an object in a digitized image. The system includes an imager for capturing an image of an object and converting it into an electrical signal. A computer connected to the camera receives this electrical signal, while a machine vision system analyzes the image. The segment detection program within the computer drives the system according to the invention, featuring an initialization subroutine and a matching subroutine. The initialization subroutine configures the program to search for a specific target polynomial equation, while the matching subroutine derives a test polynomial equation representing a test segment from a test edge of the object based on image analysis. It then determines whether the test segment matches the target segment by comparing corresponding coefficients of the equations.
Another notable patent is a method and apparatus for analyzing an image to detect and identify defects in an object. This invention employs a scanning technique that converts a 2-D image into a 1-D image, a transformation technique that extracts relevant features, and a fuzzy inferencing technique that utilizes these features to detect and identify defects. The invention includes an off-line learning process that selects optimum transform coefficients for a given set of defects and stores the corresponding features in a rulebase. The wavelet transform is used as the transformation technique, providing localized analysis in frequency and time domains. Additionally, an on-line learning process is incorporated for real-time inspection during manufacturing, aiming to nullify noise effects associated with image sensors.
Career Highlights
Muid Ur-Rehman Mufti has worked with notable companies, including Lucent Technologies Inc. His experience in these organizations has contributed to his expertise in image analysis and technology development.
Collaborations
Throughout his career, Muid has collaborated with talented individuals such as Andrei Csipkes and John Mark Palmquist. These collaborations have further enriched his work and innovations in
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile