PATENT CLAIM ANALYSIS

Application Number: 15752946
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.

Claim (Index 16):
The image processing method as recited in  claim 15 , further comprising\n a step of creating a luminance value information image in which the input image is shifted in a vertical direction (by a desired number of pixels).

Metadata:
- Claim Count in Document: 10.0
- Percentile: 88.0
- Lexical Diversity: 2.30435
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15188839', '13310489', '15408867', '13231157', '14659769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3482036528489754
- 35 USC 102 Novelty (BERT): 0.4964751256381476
- Combined Prediction Score: 0.3630308001278927
- Mean Citation Score: 212.55366400000003
- Max Citation Score: 223.26349
- Similarity Product: 148.45411020854831

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

Dataset: test