PATENT CLAIM ANALYSIS

Application Number: 15872133
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["358", "001200"]

Abstract:
This image processing apparatus inputs a density value for each pixel of image data and an attribute indicating an object type to which the pixel belongs, processes one pixel of input image data as a pixel of interest in turn, and in accordance with at least the attributes of the pixel of interest and two pixels which sandwich the pixel of interest, executes image processing for replacing the density value of the pixel of interest with the density value of one pixel out of two pixels.

Claim (Index 5):
The apparatus according to  claim 1 , wherein the image processing unit\n determines the attribute of the pixel of interest, an attribute of a reference pixel adjacent to the pixel of interest in one direction, and an attribute of an opposite pixel adjacent to the pixel of interest in an opposite direction to the one direction, corrects the density value and the attribute of the pixel of interest, and for each pixel, selects the corrected image data as image data of the pixel of interest in a case where the pixel of interest has a first attribute to be corrected, the reference pixel has a second attribute not to be corrected, and the reference pixel and the opposite pixel are different in attribute, and otherwise, selects the input image data input as image data of the pixel of interest.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 86.0
- Lexical Diversity: 2.09302
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14578850', '11279273', '12404601', '15686398', '11768537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5348175399647745
- 35 USC 102 Novelty (BERT): 0.4749719334481363
- Combined Prediction Score: 0.5288329793131108
- Mean Citation Score: 185.804016
- Max Citation Score: 191.73712
- Similarity Product: 156.41192187211036

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

Dataset: test