PATENT CLAIM ANALYSIS

Application Number: 15909893
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-06
Patent Classification: ["348", "189000"]

Abstract:
A system and method for white spot Mura defects on a display. The system is configured to pre-process an input images to generate a plurality of image patches. A feature vector is then extracted for each of the plurality of image patches. The feature vector includes at least one image moment feature and at least one texture feature. A machine learning classifier then determines the presence of a defect in each patch using the feature vector.

Claim (Index 20):
The method of  claim 19 , wherein the at least one texture feature comprises at least one of a correlation Gray-Level Co-Occurrence Matrix (GLCM) or a contrast GLCM and the at least one image moment comprises at least one of a mu 30 moment, hu 1 moment, or a hu 5 moment.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 90.0
- Lexical Diversity: 1.7234
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15639859', '13198382', '14079824', '13761006', '12319992']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.61772627650803
- 35 USC 102 Novelty (BERT): 0.5184162957013199
- Combined Prediction Score: 0.607795278427359
- Mean Citation Score: 186.446086
- Max Citation Score: 293.25674
- Similarity Product: 207.97988963596345

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