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Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.5

ISSN Print: 1065-3090
ISSN Online: 1940-4336

Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v8.i4.10
13 pages

APPLICATION OF IMAGE PROCESSING FOR FROST DENSITY PREDICTION

Jongmin Shin
Home Appliance Research Lab., LG Electronics Inc., Gaeumjeong-Dong 391-2, Changwon, Kyoungnam 641-711, Korea
Cheolhwan Kim
Home Appliance Research Lab., LG Electronics Inc., Gaeumjeong-Dong 391-2, Changwon, Kyoungnam 641-711, Korea

ABSTRACT

A new non-contact method for frost density prediction is described. Successful results •were achieved when the Improved Digital Image Processing Method (IDIPM) was employed. It is based on the idea that the brightness of frost structure elements on an image is closely connected with their real 3-D positions. The brightest spots correspond to frost elements and belong to the front layer. If frost images are obtained under the same conditions, the porosity of the frost layer may be estimated after preliminary adjustment. Then, the frost density can be easily calculated from the known porosity. The possibility of continuous frost density measurements and the analysis of density distribution are advantages of the IDIPM.


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