PATENT CLAIM ANALYSIS

Application Number: 15867390
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "195000"]

Abstract:
An image processing apparatus includes: a dispersion calculation unit for calculating a dispersion of pixel values in each of a plurality of pixel groups which are each composed of a pixel of interest and peripheral pixels around the pixel of interest in an image and in which the pixel of interest and the peripheral pixels are arranged in directions different from one another; and a gradation determination unit for determining whether or not the pixel of interest belongs to a gradation region on the basis of a magnitude relationship among the dispersions calculated by the dispersion calculation unit.

Claim (Index 1):
An image processing apparatus comprising:\n a dispersion calculation unit that calculates a dispersion of pixel values in each of a plurality of pixel groups which are each composed of a pixel of interest and peripheral pixels around the pixel of interest in an image and in which the pixel of interest and the peripheral pixels are arranged in directions different from one another; and a gradation determination unit that determines whether or not the pixel of interest belongs to a gradation region on the basis of a magnitude relationship among the dispersions calculated by the dispersion calculation unit.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.87037
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12754765', '14371530', '11835099', '12756778', '13112620']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2848545997155382
- 35 USC 102 Novelty (BERT): 0.4743209828587242
- Combined Prediction Score: 0.3038012380298568
- Mean Citation Score: 174.11724999999996
- Max Citation Score: 179.68884
- Similarity Product: 142.7410617133856

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

Dataset: test