Invention Grant
- Patent Title: Determining clean or dirty captured images
-
Application No.: US16198499Application Date: 2018-11-21
-
Publication No.: US10922803B2Publication Date: 2021-02-16
- Inventor: Daniel Herchenbach , Anas Mhana , Sebastian Carreno , Robin Lehmann
- Applicant: FICOSA ADAS, S.L.U.
- Applicant Address: ES Barcelona
- Assignee: FICOSA ADAS, S.L.U.
- Current Assignee: FICOSA ADAS, S.L.U.
- Current Assignee Address: ES Barcelona
- Agency: Brooks Kushman P.C.
- Priority: EP17382793 20171124
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/00 ; G06K9/46 ; G06K9/62

Abstract:
Methods are provided for determining whether an image captured by a capturing device is clean or dirty. These methods include: receiving the image captured by the image capturing device; splitting the received image into a plurality of image portions according to predefined splitting criteria; performing, for each of at least some of the image portions, a Laplacian filter of the image portion to produce a feature vector including Laplacian filter features of the image portion; providing the feature vectors to a first machine learning module that has been trained to produce a clean/dirty indicator depending on corresponding feature vector, the clean/dirty indicator including a probabilistic value of cleanness or dirtiness of corresponding image portion; and determining whether the image is clean or dirty depending on the clean/dirty indicators produced by the first machine learning module. Systems and computer programs suitable for performing such methods are also provided.
Public/Granted literature
- US20190164271A1 DETERMINING CLEAN OR DIRTY CAPTURED IMAGES Public/Granted day:2019-05-30
Information query