Method for estimating the distance of an object from an imaging system

Patent metadata

Field	Value
Publication number	US-9964405-B2
Application number	US-201514814418-A
Country	US
Kind code	B2
Filing date	Jul 30, 2015
Priority date	Aug 1, 2014
Publication date	May 8, 2018
Grant date	May 8, 2018

Abstract

The invention relates to a method, for determining a distance between an object with respect to an imaging system, improving the reconstruction of images of objects imaged by an imaging system and improving the resolution of the images obtained.

First claim

The invention claimed is:

1. A method ( 100 ) for processing an image of an object (O) acquired by an imaging system ( 1 ), wherein the method comprises the following steps:
determining a distance between the object (O) and the imaging system ( 1 ), wherein said distance determination comprises the following sub-steps:
estimating ( 110 ) a modulation transfer function of the imaging system on the basis of an acquired image of the object (O),
determining ( 120 ) aberration frequencies of the estimated modulation transfer function, and generating an aberration frequency vector,
implementing ( 130 ) a principal component analysis of the aberration frequency vector, in order to determine a principal component of the vector, and
using the principal component obtained, determining ( 140 ) the distance between the object and the imaging system by comparing said principal component to a joint distribution of probability densities of principal components of aberration frequency vectors,
said distribution being obtained by interpolation between previously obtained principal components of aberration frequency vectors of modulation transfer functions for a plurality of other imaging systems, each corresponding to an other object, and
the distances between each of said other imaging systems and the corresponding other objects

using the determined distance of the object, selecting ( 200 ) a point spread function of the imaging system, and
deconvoluting ( 300 ) the acquired image of the object by using the selected spread function of the imaging system, in order to improve sharpness of the acquired image.

2. The method ( 100 ) according to claim 1 , further comprising a preliminary step ( 50 ) of elaborating the joint distribution of probability densities of previously determined principal components of aberration frequency vectors, comprising the steps of:
for the plurality of pairs comprising
an imaging system comprising a geometric aperture and
a distance of an object with respect to said system,

estimating ( 51 ) the modulation transfer function of the imaging system,
for each modulation transfer function estimated for each of the pairs, determining ( 52 ) the aberration frequencies of the system and generating an aberration frequency vector,
implementing ( 53 ) a principal component analysis of each aberration frequency vector, in order to determine the principal component of each vector, and
elaborating ( 54 ) the joint distribution via interpolation between the obtained principal components and each distance between objects and each of the imaging systems.

3. Method ( 100 ) according to claim 2 , wherein the preliminary step ( 50 ) of elaborating the joint distribution of probability densities comprises, for at least one imaging system, estimating ( 51 ) a modulation transfer function of the system at a plurality of distances between the object and the system.

4. Method ( 100 ) according to claim 2 , wherein the preliminary step ( 50 ) of elaborating the joint distribution of probability densities comprises estimating ( 51 ) modulation transfer functions and the generating ( 52 ) of aberration frequency vectors for a plurality of imaging systems comprising different geometric apertures.

5. Method ( 100 ) according to claim 4 , wherein the preliminary step ( 50 ) of elaborating the joint distribution of probability densities comprises estimating ( 51 ) modulation transfer functions for imaging systems comprising a centred circular aperture or a coded aperture of the type chosen from among the following group, and/or combinations of these:
a square aperture,
an aperture comprising an annular mask,
an aperture comprising a square mask,
an aperture comprising a periodic mask.

6. Method ( 100 ) according to claim 1 , wherein the joint distribution of probability density is a Gaussian distribution.

7. Method ( 100 ) according to preceding claim 1 , wherein each step of determining ( 120 , 52 ) aberration frequencies of a modulation transfer function comprises determining contrast inversion frequencies of the imaging system.

8. Method ( 100 ) according to claim 7 , wherein each step of determining ( 120 , 52 ) aberration frequencies of a modulation transfer function comprises determining the minima of the function.

9. Imaging system ( 1 ) comprising an image sensor ( 10 ), a unit for processing images ( 11 ) and a geometric aperture ( 12 ), wherein the processing unit is adapted for implementing the method according to claim 1 .

10. A non-transitory computer-readable medium containing code instructions for implementing the method of claim 1 , wherein said code instructions are executed by processing means of a processing unit.

Assignees

• Morpho

Inventors

• Maalouf Aldo
• Malek Mokrane
• Picard Sylvaine

Classifications

• G01C3/32 Primary

  by focusing the object, e.g. on a ground glass screen · CPC title

• G01C3/08 Primary

  Use of electric radiation detectors · CPC title

• G06T7/77

  using statistical methods · CPC title

• G06K9/481

  Physics · mapped topic

• G06T2207/20076

  Probabilistic image processing · CPC title