Computational methods for the segmentation of images of objects from background in a flow imaging instrument
US7190832B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2002 |
| Grant date | Mar 13, 2007 |
| Priority date | — |
| Expiry date | Jul 11, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2015/1497
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In automated computation-based interpretation of images, the accuracy and reliability of the detection and delineation of objects, known as “object segmentation,” is implemented so as to provide efficient performance. In a multi-step process, objects are first detected and captured into regions of interest (ROIs). Sets of pixels belonging to respective objects are then identified. Preferably object detection is achieved using both a two-dimensional (2D) low pass filter and a 2D edge enhancement filter. Two different gradient based edge enhancement filters are disclosed. One embodiment of the invention defines a (ROI) by first determining the center of objects by executing a plurality of decimations on the filtered image data, and then establishing object boundaries. In a second embodiment the ROI is defined by generating an amplitude histogram of the filtered image data, and for histograms exceeding a threshold determining by pixel which rows are to be included in the ROI.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.