Fluid sample analysis using class weights

Details Fluid sample analysis using class weights Fluid sample analysis using class weights

2008-01-29

2008-01-29

Mehta, Bhavesh M (Department: 2624)

Image analysis

Pattern recognition

Classification

C377S011000, C356S039000, C702S021000

Reexamination Certificate

active

10850786

ABSTRACT:
Most automatic particle classification methods produce errors. The invention provides a method for improving the accuracy of particle classification while shortening the amount of manual review time required from the operator. The method uses class weights, which are statistically-derived correction factors that accounts for frequency of classification errors. A first class weight and a second class weight are assigned to the first class and the second class, respectively. The number of particles in each of the first and the second classes is multiplied by the first class weight and the second class weight, respectively, to generate a corrected number of particles in each of the classes. If particles are reclassified, the class weights are recalculated in response to the reclassification. The method is usable with a complete classification where all the particles in a sample are classified, or a selective classification of a subset of the particles in the sample.

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