US 12,488,461 B2
Image annotation system and method
Patric Pelzer, Wetzlar (DE); and Markus Ott, Wetzlar (DE)
Assigned to LEICA MICROSYSTEMS CMS GMBH, Wetzlar (DE)
Filed by LEICA MICROSYSTEMS CMS GMBH, Wetzlar (DE)
Filed on Dec. 16, 2022, as Appl. No. 18/067,030.
Claims priority of application No. 21215993 (EP), filed on Dec. 20, 2021.
Prior Publication US 2023/0196566 A1, Jun. 22, 2023
Int. Cl. G06T 7/12 (2017.01); G06F 3/04812 (2022.01); G06F 3/04883 (2022.01); G06F 3/14 (2006.01); G06T 7/00 (2017.01); G06V 10/25 (2022.01)
CPC G06T 7/0012 (2013.01) [G06F 3/04812 (2013.01); G06F 3/04883 (2013.01); G06F 3/14 (2013.01); G06V 10/25 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20104 (2013.01)] 13 Claims
OG exemplary drawing
 
1. An image annotation system for annotating a microscopic image of a sample, the image annotation system comprising:
an output unit configured to display the image of the sample;
an input unit configured to capture a first user input sequence and at least one second user input sequence, the first user input sequence comprising a first beginning location of a cursor and a first movement of the cursor from the first beginning location over a first selection area of the displayed image, the second user input sequence comprising a second beginning location of the cursor and a second movement of the cursor from the second beginning location over a second selection area of the displayed image; and
a processor configured to:
determine at least one image area of the image of the sample by:
determining a first image area of the at least one image area based on the first selection area defined by the first user input sequence;
upon determining that the second beginning location of the cursor is within the first selection area, redetermining the first image area based on both the first selection area and the second selection area; and
upon determining that the second beginning location of the cursor is outside the first selection area, determining a second image area of the at least one image area based on the second selection area; and
generate an object map comprising image points, each image point corresponding to an image point of the image of the sample, wherein each image point of the object map encodes information regarding which of the at least one image area the corresponding image point of the image of the sample belongs to.