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 2):
A method for registering a plurality of images containing an object, comprising:\n receiving, using at least one processor, a first image including a plurality of pixels; calculating, using the at least one processor, respective first neutrosophic similarity scores for each of the pixels of the first image; segmenting, using the at least one processor, an object from background of the first image using a region growing algorithm based on the respective first neutrosophic similarity scores for each of the pixels; receiving, using the at least one processor, a margin adjustment related to the object segmented from the background of the first image; receiving, using the at least one processor, a second image including a plurality of pixels; calculating, using the at least one processor, respective second neutrosophic similarity scores for each of the pixels of the second image; performing, using at least one processor, a template matching algorithm based on differences between the respective first and second neutrosophic similarity scores for each of the pixels of the first and second images, respectively, to determine one or more registration parameters; and registering, using at least one processor, the first and second images using the one or more registration parameters, wherein the respective first and second neutrosophic similarity scores for each of the pixels of the first and second images, respectively, are calculated using a respective neutrosophic set domain for each of a plurality of pixel characteristics.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 98.0
- Lexical Diversity: 2.15556
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15121246', '14518976', '14868332', '14109995', '13754097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3261840073105814
- 35 USC 102 Novelty (BERT): 0.5344926783181876
- Combined Prediction Score: 0.347014874411342
- Mean Citation Score: 239.289456
- Max Citation Score: 374.71423
- Similarity Product: 370.6027898420447

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