نتایج جستجو برای: subtractive fuzzy c means

تعداد نتایج: 1453543  

Journal: :International Journal on Intelligent Electronic Systems 2011

Journal: :Proceedings of International Conference on Artificial Life and Robotics 2018

Journal: :Sinkron : jurnal dan penelitian teknik informatika 2021

Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, calcium. The freshness of the ripe mango will taste sweet. level ripeness fruit can be seen from texture skin color. Ripe mangoes have a bright, fragrant color smooth texture. problem found in segmentation is that image influenced by several factors, noise environmental objects. In measuring maturit...

2012
Neha Jain Seema Shukla

In recent years, the Fuzzy Relational Database and its queries have gradually become a new research topic. Fuzzy Structured Query Language (FSQL) is used to retrieve the data from fuzzy database because traditional Structured Query Language (SQL) is inefficient to handling uncertain and vague queries. The proposed model provides the facility for naïve users for retrieving relevant results of no...

2003
Hong Jiang

This paper extends the traditional Fuzzy C-Means clustering method to a generalized fuzzy clustering model. According to most applications, this fuzzy clustering model briefly includes 3 parts: feature extractor transfers original objects information to desired feature data; fuzzy cluster analyzer gets cluster information from the feature data; and post treatment obtains the final results based...

2004
Ameer Ali Gour C Karmakar Laurence S Dooley

Clustering algorithms are highly dependent on the features used and the type of the objects in a particular image. By considering object similar surface variations (SSV) as well as the arbitrariness of the fuzzy c-means (FCM) algorithm for pixel location, a fuzzy image segmentation considering object surface similarity (FSOS) algorithm was developed, but it was unable to segment objects having ...

Journal: :Pattern Recognition 1991
Mohamed S. Kamel Shokri Z. Selim

In this paper, the problem of achieving 'semi-fuzzy' or 'soft' clustering of multidimensional data is discussed.A technique based on thresholding the results of the fuzzy c-means algorithm is introduced.The proposed approach is analysed and contrasted with the soft clustering method (see S. Z. Selim and M. A. Ismail, Pattern Recognition 17, 559-568) showing the merits of the new method.Separati...

Journal: :EURASIP Journal on Advances in Signal Processing 2011

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