PATENT CLAIM ANALYSIS

Application Number: 16203281
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["358", "001150"]

Abstract:
An apparatus that enables an operator to easily perform an image diagnosis by ascertaining an analysis image that does not include an unnecessary image and that reduces a user's superfluous indication. A forming unit forms an image on a sheet. An image reading unit reads image data from an original. An output processing unit outputs a second analysis image that is obtained by adding a predetermined image pattern to a first analysis image for an image diagnosis to a sheet with the forming unit. A read processing unit reads the sheet on which the second analysis image is output with the image reading unit and generates first image data. An analysis unit analyzes the first image data. An erasing unit generates second image data that is displayed for the image diagnosis by erasing the predetermined image pattern from the first image data.

Claim (Index 6):
The apparatus according to  claim 5 , wherein the erasing unit counts pixels of a predetermined signal value in the image data after the simple thinning, determines whether the downsampling has succeeded based on a result of the counting, and downsamples again after changing pixels downsampled when it is determined that the downsampling has not succeeded.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.67857
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14548176', '15604525', '15247641', '15117184', '13153578']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4558258131044911
- 35 USC 102 Novelty (BERT): 0.5144605038546758
- Combined Prediction Score: 0.4616892821795096
- Mean Citation Score: 152.234812
- Max Citation Score: 168.4418
- Similarity Product: 93.07398542133568

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