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PCE
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DIFF Subgroup
G06T 7/41

based on statistical description of texture

Introduced: January 2017

Full Title

Full titles differ between systems:

IPC:

Image analysis > Analysis of texture > based on statistical description of texture

CPC:

Image analysis > Analysis of texture (depth or shape recovery from texture G06T7/529) > based on statistical description of texture

IPC and CPC are identically structured here. All 5 subcodes exist in both systems.

IPC defines codes here since 2017.

Child Classifications

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  • G06T 7/42 using transform domain methods since 2017 IPC+CPC Available in IPC and CPC
  • G06T 7/44 using image operators, e.g. filters, edge density metrics or local histograms since 2017 IPC+CPC Available in IPC and CPC
  • G06T 7/45 using co-occurrence matrix computation since 2017 IPC+CPC Available in IPC and CPC
  • G06T 7/46 using random fields since 2017 IPC+CPC Available in IPC and CPC
  • G06T 7/48 using fractals since 2017 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505

Top Applicants (CPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 76,952
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
  3. MICROSOFT TECHNOLOGY LICENSING US 44,778
  4. GOOGLE US 35,735
  5. INTEL CORPORATION US 32,087
  6. HUAWEI TECHNOLOGIES COMPANY CN 30,572
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
  8. APPLE US 23,482
  9. SGCC(STATE GRID CORPORATION OF CHINA) 22,548
  10. HUAWEI TECHNOLOGIES COMPANY 20,917