PATENT CLAIM ANALYSIS

Application Number: 15763693
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["345", "589000"]

Abstract:
A display grayscale curve correction system and method for a mammary gland molybdenum target image. The system comprises a key module, an ARM module, an upper computer, an FPGA module connected to both outputs of the ARM module and the upper computer, and a display panel connected to an output of the FPGA module, wherein the upper computer firstly captures a currently displayed mammary gland image, subsequently analyses an image feature, and then calculates an optimized grayscale correction curve; in addition, the ARM module writes the grayscale correction curve into the FPGA module by means of a serial communication protocol; and the FPGA module performs grayscale mapping on a pixel value of an input image twice, and performs enhanced display on the mammary gland molybdenum target image. In comparison with a common DICOM correction curve, by including a feature of a mammary gland molybdenum target x-ray image into the scope of consideration of optimization, a part where a focus possibly exists can be better highlighted, and the operation is simple and does not occupy resources of an upper computer, and smooth running is guaranteed.

Claim (Index 5):
The display grayscale curve correction system as claimed in  claim 4 , wherein the FPGA module has more than two look-up tables, and carries out two grayscale mappings to perform grayscale correction on a target image grayscale, by using a curve obtained by the upper computer piecewise interpolation algorithm and the DICOM curve respectively.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.19565
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12751363', '13196518', '12507450', '12051657', '14892134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6758017346528025
- 35 USC 102 Novelty (BERT): 0.5105227857058015
- Combined Prediction Score: 0.6592738397581024
- Mean Citation Score: 181.548874
- Max Citation Score: 215.6592
- Similarity Product: 118.8700982711792

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

Dataset: test