Method and system for determining geometric pattern features of

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382 6, G06F 1500, G06K 900

Patent

active

053195493

ABSTRACT:
A computerized method and system based on quantitative analysis of geometric features of various infiltrate patterns in chest images for the detection and categorization of abnormalities related to the infiltrate patterns. Chest images are digitized and a lung texture analysis is performed on a number of small regions of interest (ROIs) in order to determine a classification of normal or abnormal of the particular patient's lungs. If the lungs are determined as being abnormal, large ROIs with a 128.times.128 matrix are selected in order to cover the detected areas of abnormality. Overall background trend correction is then performed in these large ROIs using a 2D-surface fitting technique for isolation of the fluctuating patterns of the underlying lung texture. Opacities of interstitial infiltrates are identified from two processed images which are obtained by employing thresholding with a morphological filter and a line enhancement filter. Finally, ROIs are classified into nodular, reticular and/or reticulo-nodular patterns by measurement of parameters corresponding to the type of the abnormality pattern detected.

REFERENCES:
patent: 4839807 (1989-06-01), Doi et al.
patent: 4851984 (1989-07-01), Doi et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and system for determining geometric pattern features of does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and system for determining geometric pattern features of , we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for determining geometric pattern features of will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-798031

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.