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Наименование:

Effectiveness of Content-Based Image Clustering Algorithms. Measuring cluster quality

Формат:      Страниц 104
     мягкая обложка
Автор:
Mesfin S.A.    
Издательство:
Книга по Требованию    
Год:2009
Цена:
1997 руб
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This book describes the clustering process, focusing on clustering algorithms and ways to measure the quality of the created clusters. The image clusters are utilized by content-based image retrieval and querying systems that require effective query matching in large image databases. To be able to retrieve a set of image documents, the images must be clustered according to semantic similarity. Four common image clustering algorithms are evaluated: k-means clustering and three versions of hierarchical clustering, using average-linkage, complete-linkage, and Ward' s method. In the experimental section of the book, the algorithms are compared using two similarity measures: color-based similarity utilizing MPEG-7 color descriptors only, and total similarity as a weighted sum of features for both color, texture and shape. The experiments show average-linkage hierarchical clustering performing best according to both similarity measures. Notably, though, the addition of texture and shape features degraded the cluster quality of all the three hierarchical methods tested, but improved the quality of k-means clustering.
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Раздел: Каталки
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Определение связанного множества пикселей на бинарном...
Кандидат наук Головко А.В. Национальный институт кораблестроения г. Николаева Определение связанного множества пикселей на бинарном изображении Приведен один из алгоритмов реализации задачи определения связанного множества объектов на бинарном изображении. Определены базовые параметры, которые должна определять функция. Произведено детальное описание алгоритма, приведена иллюстрация его работы. Разработана тестовая программа, в которой реализован описанный алгоритм. Проведен анализ временных параметров работы функции. Приведений один із алгоритмів реалізації задачі визначення зв'язаної безлічі об'єктів на бінарному зображенні. Визначені базові параметри, які повинна визначати функція. Проведений детальний опис алгоритму з додаванням ілюстрацій його роботи. Розроблена тестова програма, в якій реалізований описаний алгоритм. Проведений аналіз тимчасових параметрів роботи функції. O a bi ary image o e of algori hms of realiza io of ask of de ermi a io of he li ked grea umber of objec s is resul ed. Base parame ers which a fu c io mus de ermi e are cer ai . he de ailed descrip io of algori hm is made, illus ra io of his work is resul ed. he es program he described algori hm is realized i which is developed. he a alysis of emporal parame ers of work of fu c io is co duc ed. Обзор. Задача определения связанного множества довольно актуальна в вопросах анализа цифрового изображения.


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