Sharing images on Social Network (SN) platforms is one of the most widespread behaviors which may cause privacy-intrusive and illegal content to be widely distributed. Clustering shared through SN according acquisition cameras embedded in smartphones regarded as a significant task forensic investigations cybercrimes. The Sensor Pattern Noise (SPN) caused by camera sensor imperfections due manuf...

Clustering, in simple words, is grouping similar data items together. In the text domain, clustering is largely popular and fairly successful. In this work, we try and apply clustering methods that are used in the text domain, to the image domain. Two major challenges in this approach are image representation and vocabulary definition. We apply the bag-of-words model to images using image segme...

In computer vision, image segmentation is always selected as a major research topic by researchers. Due to its vital rule in image processing, there always arises the need of a better image segmentation method. Clustering is an unsupervised study with its application in almost every field of science and engineering. Many researchers used clustering in image segmentation process. But still there...

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...