PATENT CLAIM ANALYSIS

Application Number: 16104583
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["382", "254000"]

Abstract:
A method of correcting an infrared image including a plurality of pixels arranged in an input image array, a first pixel in the plurality of pixels having a first pixel value and one or more neighbor pixel with one or more neighbor pixel values. The first pixel and the one or more neighbor pixels are associated with an object in the image. The method includes providing a correction array having a plurality of correction pixel values, generating a corrected image array by adding the first pixel value to a correction pixel value in the correction array, and detecting edges in the corrected image array. The method also includes masking the detected edges in the corrected image array, updating the correction array, for each correction pixel value in the correction array and providing an output image array based on the correction array and the input image array.

Claim (Index 7):
The method of  claim 6 , wherein updating the correction table using the motion-based algorithm further comprises:\n adding the difference to a previous neighbor correction value to update a neighbor correction value; and subtracting the difference from a previous correction value to update a correction value.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.98077
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15353655', '14964165', '14211796', '14534008', '13735301']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3595995578548307
- 35 USC 102 Novelty (BERT): 0.5470457146841051
- Combined Prediction Score: 0.3783441735377582
- Mean Citation Score: 320.67833600000006
- Max Citation Score: 388.80457
- Similarity Product: 323.69625104552154

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

Dataset: test