Hard versus fuzzy c-means clustering for color quantization
نویسندگان
چکیده
منابع مشابه
Hard versus fuzzy c-means clustering for color quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms. Recent studies have demonstrated the effectiveness of hard c-means (k-means) clustering algorithm in this domain. Other studies reported similar findings pertaining to the fuzzy c-means algorithm. Interestingly, none...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2011
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2011-118