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Introduction to digital processing and image clustering

Introduction to digital processing and image clustering
Juan Manuel Miguel Jimenez.
Electronics department. University of Alcala.

In this article, the most typical image processing algorithms are discussed in a general way, such as convolution, histogram equalization, thresholding, negative, etc. In addition, the theoretical aspects and the application of the c-means algorithm to the grouping of images are studied, all with a practical approach, while the development of an application in Visual Basic in which all these methods are implemented is explained. Several figures illustrate the handling of the application and show some of the results obtained.
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