A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images

Expert Systems with Applications

Volumn 35, Issue 3, 2008, Pages 728-738

  Dogantekin, Esin ^a   Yilmaz, Mustafa ^a   Dogantekin, Akif ^a   Avci, Engin ^a   Sengur, Abdulkadir ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

ANFIS; Feature extraction; Invariant moments; Microscopic image; Parasite egg recognition; Pattern recognition

Indexed keywords

ARCHITECTURAL DESIGN; CHARACTER RECOGNITION; COMPUTATIONAL METHODS; COMPUTER GRAPHICS; COMPUTER NETWORKS; COMPUTER SIMULATION; DIGITAL IMAGE STORAGE; EXTRACTION; FEATURE EXTRACTION; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SYSTEMS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; IMAGING TECHNIQUES; MATLAB; METROPOLITAN AREA NETWORKS; NETWORK PROTOCOLS; OPTICAL DATA PROCESSING; PATTERN RECOGNITION; REAL TIME SYSTEMS; SOLVENT EXTRACTION; SPEECH RECOGNITION; STAGES;

(+ MOD 2N) OPERATION; (E ,3E) PROCESS; ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM (ANFIS); CONTRAST ENHANCEMENT; DATA SETS; DIGITAL IMAGE PROCESSING; ELSEVIER (CO); EXTRACTION MECHANISMS; HUMAN PARASITE; INDUSTRIAL INSPECTIONS; INVARIANT MOMENTS; MACHINE DIAGNOSTICS; MATLAB ENVIRONMENT; MICROSCOPIC IMAGING; NOISE REDUCTIONS; PATTERN RECOGNITION TECHNIQUES; RECOGNITION METHODS; RECOGNITION PROCESS; ROBUST TECHNIQUE; SUCCESS RATES; UNIQUE FEATURES;

PATTERN RECOGNITION SYSTEMS;

EID: 44949252123     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.07.020     Document Type: Article

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