PATENT CLAIM ANALYSIS

Application Number: 16214520
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-08
Patent Classification: ["382", "173000"]

Abstract:
An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels, transforming a plurality of characteristics of a pixel into respective neutrosophic set domains, calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel, segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel, and receiving a margin adjustment related to the object segmented from the background of the image.

Claim (Index 10):
The method of  claim 9 , wherein calculating the respective first or second neutrosophic similarity scores for each of the pixels based on the respective neutrosophic set domains for the pixel characteristics further comprises:\n calculating respective first or second neutrosophic similarity scores for each of the respective neutrosophic set domains; and calculating a mean of the respective first or second neutrosophic similarity scores for each of the respective neutrosophic set domains.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 98.0
- Lexical Diversity: 2.15556
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15121246', '14518976', '14868332', '14109995', '13754097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3537143850418194
- 35 USC 102 Novelty (BERT): 0.5365804657477264
- Combined Prediction Score: 0.3720009931124101
- Mean Citation Score: 239.289456
- Max Citation Score: 374.71423
- Similarity Product: 336.26400179768206

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

Dataset: test