PATENT CLAIM ANALYSIS

Application Number: 16124155
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-09
Patent Classification: ["358", "001140"]

Abstract:
An image processing apparatus includes a processor for acquiring an image of a reference member, calculating a dirt degree at an imaging position by comparing a gradient value of a pixel with a gradient value of peripheral pixels of the pixel or comparing the gradient value of the pixel with a reference value, with regard to a pixel included in the acquired image of the reference member, and generating when the dirt degree is equal to or more than a first threshold. When the dirt degree is less than the first threshold and equal to or more than a second threshold that is smaller than the first threshold, the processor generates the warning only when a scan count exceeds a scan count threshold, and when the dirt degree is less than the second threshold, the processor does not generate the warning.

Claim (Index 10):
The image processing apparatus according to  claim 1 , wherein the processor acquires open/close information indicating that a cover of the image reading apparatus has been opened and closed, and wherein\n when the processor acquires the open/close information, the processor acquires newly captured image of the reference member, newly calculates the dirt degree from the newly captured image, and generates the warning according to the newly calculated dirt degree.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.52542
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16124091', '11041722', '14615579', '10014109', '12582400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5254649248976456
- 35 USC 102 Novelty (BERT): 0.5160498279531563
- Combined Prediction Score: 0.5245234152031967
- Mean Citation Score: 181.010228
- Max Citation Score: 244.27573
- Similarity Product: 140.98388004752397

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