公开(公告)号：US11935235B2

公开(公告)日：2024-03-19

申请号：US17901582

申请日：2022-09-01

Applicant: UNIVERSITY OF IOWA RESEARCH FOUNDATION

Inventor： Michael Abramoff ,  Gwenole Quellec

IPC: G06T7/00 ,  G06F18/00 ,  G06T7/73 ,  G06V40/18

CPC classification number: G06T7/0012 ,  G06F18/00 ,  G06T7/75 ,  G06V40/193 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/30041 ,  G06T2207/30096 ,  G06V2201/03

Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.

公开(公告)号：US11468558B2

公开(公告)日：2022-10-11

申请号：US16158093

申请日：2018-10-11

Applicant: UNIVERSITY OF IOWA RESEARCH FOUNDATION

Inventor： Michael Abramoff ,  Gwenole Quellec

IPC: G06T7/00 ,  G06T7/73 ,  G06K9/00

Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.