Maryland's Defense Patent Database

The defense community in Maryland is an R&D powerhouse. Use this database to see the innovative patents that are poised for commercialization.

Data is provided by DoD Naval labs in Southern Maryland. Database funding supported by the DoD Office of Economic Adjustment through a Defense Industry Adjustment grant program.

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Computationally efficient method for image segmentation with intensity and texture discrimination

Patent Number: 9,082,190

AbstractA computationally efficient image segmentation method is provided that processes a grayscale digital image to more clearly show textures in the underlying object shown in the digital image. A grayscale digital image is converted to an intensity matrix based on the brightness of the pixels in the image, where each matrix element represents a pixel in the digital image and has a value corresponding to the intensity, i.e., the brightness, of that pixel. The value of each matrix element is compared to the value of its nearest neighbor matrix element, and the pixel represented by the matrix element is categorized as being “dark” or “bright” based on its value, and is categorized as being “smooth” or “rough” based on the values of the nearest neighbor matrix elements. As each pixel is categorized, it is assigned a shading level corresponding to the brightness/texture matrix element value. A processed image having only the assigned shading levels is then produced, with the processed image indicating textures of the underlying object shown in the original grayscale digital image.
Patent Number9,082,190 Issue Date2015-07-14 Link USPTO website

Primary Category


Biographical Information

Inventor

  • Frank W. Bentrem,

Assignee

  • The United States of America, as represented by the Secretary of the Navy

Executive Summary

This patent was granted in 1 year, 357 days, which is a slower than average speed.

It has 8 claims, which is far fewer than average for this category.

Its proximity to basic research is much less than others in this category, and it displays a slower than average technology cycle time.

This patent received far fewer citations from other patents, and references far fewer other patents, as compared to other patents in this category.

Grant Time

1 year, 357 days

Claims

8

Patent Grant Time

This patent had a slower than average grant time compared to others in this category.

Patent grant time can be influenced by many factors. Activities within the USPTO that are beyond the control of patent attornies can influence grant time, but short grant times can also indicate well-written patents and dedicated efforts to respond rapidly to USPTO office actions with strong arguments. Shorter grant times are preferable, and the scores for this section are inverse measures — higher scores are better.

Patent Claims

This patent has far fewer claims compared to others in this category.

The number of claims in a patent is correlated with its strength. Because greater claim counts increase the cost of a patent, more claims can indicate the importance an applicant assigns to a patent. Importantly, some may elect to file claims across multiple patents. A higher score in this metric indicates more claims, relative to others in this category.

Citations From Other Patents

This patent has received far fewer citations from other patents, than others in this category.

Citations from other patents are an important measure of the significance of a patent. More citations indicate that other technologies build on a patent. Higher scores in this metric are better, and indicate more citations from other patents.

Citations to Other Patents

This patent referenced many more citations to other patents, than others in this category.

A lower number of citations to other patents can be a sign of diminished patent strength. More citations indicate dependence on more other technologies. Higher scores in this category are better, and indicate fewer citations to other patents.

Research and Innovation Indicators
These are percentile ranks — they indicate the percentage of peers with lower scores.

Proximity to Basic Research

0%

0%

This patent has much less proximity to basic research compared to others in this category.

Proximity to basic research is measured by comparing the number of citations to non-patent literature among a cohort of patents. Because most non-patent citations are primary research papers, a higher count indicates greater proximity to basic research.