Similarity of classes and fuzzy clustering
Fuzzy Sets and Systems
Neurocomputing
Introduction to the theory of neural computation
Introduction to the theory of neural computation
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation using fuzzy correlation
Information Sciences: an International Journal
The Handbook of Applied Expert Systems
The Handbook of Applied Expert Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Cluster validity methods: part I
ACM SIGMOD Record
Clustering validity checking methods: part II
ACM SIGMOD Record
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
A cognitive vision approach to early pest detection in greenhouse crops
Computers and Electronics in Agriculture
Separating pigment components of leaf color image using FastICA
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Treatment planning for supracondylar fracture in humerus in children by image processing
Intelligent Decision Technologies
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Conventional Expert systems, especially those used in diagnosing diseases in the agricultural domain, depend only on textual input. This paper explores the idea of augmenting a traditional diagnostic expert system model, with an image analyzer. The goal of this augmentation is to automatically detect, extract, and classify abnormal features on a plant leaf, thus reducing the need for human interaction and increasing the accuracy of the diagnosis. The result of applying this approach is presented through the use of cucumber diseases as a test case.