Invariant moment based feature analysis for abnormal erythrocyte recognition

Erythrocyte shape recognition is very important in the detection of thalassemia and anemia using microscopic images. This study aims to develop a computer aided shape recognizer for the recognition of abnormal shapes viz., tear drop, echinocyte, eliptocyte. Here such recognition is done using Hu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Das, D, Ghosh, M, Chakraborty, C, Pal, M, Maity, A K
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Analysis of variance Artificial neural networks Biomedical optical imaging Bismuth Erythrocyte Invarian moments light microscopic image Medical diagnostic imaging Microscopy Optical imaging watershed segmentation
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