PATENT CLAIM ANALYSIS

Application Number: 15750359
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["348", "164000"]

Abstract:
The invention relates to a visible light image and infrared image fusion processing system and a fusion method. The fusion processing system comprises an image acquisition module, an image fusion module and an image display module, wherein the image fusion module is connected with the image acquisition module and the image display module. By adoption of the fusion method, the fusion ratio of a visible light image to an infrared image can be adjusted according to requirements, and detailed images are filtered and compared and then enhanced, so that detail information of a fused image is improved, and noise interference is avoided. Furthermore, fusion weights of the visible light image and the infrared image and the detail enhancement degree can be flexibly controlled through external parameter adjustment, and thus various display requirements are met.

Claim (Index 3):
A fusion method based on the visible light image and infrared image fusion processing system according to  claim 1 , wherein the fusion method comprising the following steps:\n Step 1: transforming the selected target region of the visible light image into a format, converting the color image into a grayscale image or selecting only the luminance component image of the color image; Step 2: filtering at a low-pass the grayscale image or the luminance component of the visible light to obtain the low-frequency component image of the visible light image; and then performing the difference calculation between the non-filtered visible grayscale image and the visible low-frequency component image to obtain a visible high-frequency component image; Step 3: filtering at a low pass the infrared image, to obtain a low-frequency component image of the infrared image; then performing the difference calculation between the non-filtered infrared grayscale image and the low-frequency component image of the infrared image to obtain a high-frequency component image of the infrared image; Step 4: Using the look-up table method to realize the pseudo-color enhancement reality of the low frequency component of the infrared image and extracting the luminance component of the pseudo-color image; Step 5: Fusing the low-frequency components of the image, and performing sum of the weights of the low-frequency luminance component of the infrared image and the low-frequency component of the visible grayscale image, and the weight sum of each pixel is one; Step 6: enhancing the high-frequency component images, and adjusting the high-frequency component image of the visible light image and the enhancement degree of the high-frequency component image of the infrared image by control parameters; Step 7: superposing the enhanced high-frequency component image of the infrared image and the enhanced visible high-frequency component image on the fused low-frequency component image obtained in Step 5 to obtain a fused luminance component image; Step 8: replacing the luminance component in the infrared pseudo-color image with the fused luminance component image, to obtain the final fused image.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 2.28125
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12275781', '16083428', '11345203', '11584400', '14896421']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5766622808987776
- 35 USC 102 Novelty (BERT): 0.4878447497507095
- Combined Prediction Score: 0.5677805277839708
- Mean Citation Score: 201.82830600000003
- Max Citation Score: 214.12555
- Similarity Product: 165.98854576442838

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

Dataset: test