PATENT CLAIM ANALYSIS

Application Number: 15772657
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["382", "274000"]

Abstract:
A decamouflaging method includes: obtaining image representing a scene including a multispectral image including components in the spectral domain ranging from the visible domain to the short-wavelength infrared and a thermal image including a component in the medium infrared and/or the long-wavelength infrared; extracting a sub-part (“window”) from each of the images obtained at a given position; applying a contrast accentuation procedure to the window extracted from the multispectral image allowing an improved window to be obtained where contrast between pixels corresponding to the object and pixels not corresponding to the object is accentuated; forming a multicomponent window, the improved window obtained and the window extracted from the thermal image each supplying a component of the multicomponent window; and applying the procedure to the multicomponent window; generating an image by inserting the improved window obtained by applying the procedure to the multicomponent window in a receiving image representing the scene.

Claim (Index 4):
The method according to  claim 2 , wherein the first mask is suitable for containing each pixel of a detail of said object having an interest for identifying said object.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 2.31429
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15745881', '15100212', '14357205', '15027996', '14689745']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.337339837032633
- 35 USC 102 Novelty (BERT): 0.5201050690293203
- Combined Prediction Score: 0.3556163602323017
- Mean Citation Score: 196.71494
- Max Citation Score: 312.97968
- Similarity Product: 218.92617837913508

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test