Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Depth inclusion as an important parameter for dynamic selective visual attention is presented in this article. The model introduced in this paper is based on two previously developed models, dynamic selective visual attention and visual stereoscopy, giving rise to the socalled dynamic stereoscopic selective visual attention method. The three models are based on the accumulative computation prob...

Correct and efficient segmentation of Uyghur words into characters is crucial to the successful recognition. However, little work has been done in this area. There are many connected characters in cursive Uyghur handwriting, which makes the segmentation and recognition of Uyghur words very difficult. To enable large vocabulary Uyghur word recognition using character models, we propose a charact...

Activity recognition is an essential task in many ambient assisted living applications. Activities are commonly recognized using data streams from onbody sensors such as accelerometers. An important subtask in activity recognition is signal segmentation: a procedure for dividing the data into intervals. These intervals are then used as instances for machine learning. We present a novel signal s...