IMAGE CLASSIFICATION BASED ON IMAGE SEGMENTATION Russian patent published in 2014 - IPC G06K9/62 

Abstract RU 2513905 C2

FIELD: physics, computer engineering.

SUBSTANCE: invention relates to classification of image data and more specifically to classification of image data based on a model for adapting to an object in the image data. The system comprises a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data based on the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model based on the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. However, a person skilled in the art will understand that in some versions of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process.

EFFECT: enabling classification of image data without any data input by the user.

13 cl, 8 dwg

Similar patents RU2513905C2

Title Year Author Number
IMAGE CLASSIFICATION METHOD USING SPIKE NEURAL NETWORK WITH SYNAPTIC PLASTICITY AND MACHINE LEARNING ALGORITHM 2023
  • Stasenko Sergej Viktorovich
  • Lebedev Andrej Aleksandrovich
RU2830294C1
IMAGE- AND CONTEXT-DEPENDENT ANATOMIC APPLICATIONS FOR EFFECTIVE DIAGNOSTICS 2007
  • Kifer Gundol'F
  • Lemann Khel'Ko
  • Geller Diter
  • Shramm Khauke
  • Peters Jokhen
  • Ehkabert Oliver
  • Vese Jurgen
RU2451335C2
METHOD FOR IMAGE GENERATION BASED ON USER PREFERENCE ANALYSIS 2023
  • Zhmurko Aleksandr Vasilevich
  • Krupina Evgeniya Vladimirovna
  • Borzov Dmitrij Viktorovich
RU2812413C1
RELEVANCE FEEDBACK FOR EXTRACTION OF IMAGE ON BASIS OF CONTENT 2010
  • Akgjul' Dzhejkhun Burak
  • Ehkyn Akhmet
RU2559712C2
IMAGE PROCESSING SYSTEM AND METHOD USING DEEP NEURAL NETWORKS 2018
  • Levinshtein, Alex
  • Chang, Cheng
  • Phung, Edmund
  • Kezele, Irina
  • Guo, Wenzhangzhi
  • Elmoznino, Eric
  • Jiang, Ruowei
  • Aarabi, Parham
RU2743931C1
METHOD OF FORMING CATALOG OF CELESTIAL OBJECTS OF LARGE ARRAYS OF ASTRONOMIC IMAGES 2017
  • Gerasimov Sergej Valerevich
  • Meshcheryakov Aleksandr Valerevich
  • Glazkova Valentina Vladimirovna
  • Terekhin Andrej Nikolaevich
  • Popov Ivan Sergeevich
RU2659493C1
SELECTION OF ANATOMICAL VERSION MODEL FOR IMAGE SEGMENTATION 2011
  • Lorents Kristian
  • Barshdorf Khans
  • Klinder Tobias
  • Khanna Ragkhed
RU2609084C2
DEVICE FOR CREATION OF ASSIGNMENTS BETWEEN AREAS OF IMAGE AND CATEGORIES OF ELEMENTS 2012
  • Blaffert Tomas
  • Renish Shteffen
  • Shvajtser Bernd
  • Khu Chzhitsyan
RU2589461C2
IMAGE ENCODING METHOD, IMAGE DECODING METHOD, IMAGE ENCODING DEVICE, IMAGE DECODING DEVICE AND APPARATUS FOR ENCODING AND DECODING IMAGES 2012
  • Sasai Khisao
  • Nisi Takakhiro
  • Sibakhara Joudzi
  • Sugio Tosiyasu
RU2595641C2
METHOD FOR IMAGE CLASSIFICATION 2020
  • Gorodetskij Andrej Emelyanovich
  • Kurbanov Vugar Garib Ogly
  • Tarasova Irina Leonidovna
RU2756778C1

RU 2 513 905 C2

Authors

Tsjan' Juehchehn'

Geller Diter

Knezer Rajnkhard

Sevenster Merlejn

Van Ommering Robbert K.

Tulipano Paola K.

Dates

2014-04-20Published

2009-05-08Filed