In this paper, a novel algorithm called Nonlocal Adaptive Mean Filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient window detector with adaptive size to detect the noise. The noisy pixel then replaced by combination of its neighboring pixels, and finally, SAP based nonlocal mean filter used reconstruct intensity values pixels. Extens...

In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...

Title of Dissertation Local Feature Representations for Facial Expression Recognition Based on Differences of Gray Color Values of Neighboring Pixels Author Mohammad Shahidul Islam Degree Doctor of Philosophy (Computer Science and Information Systems) Year 2013 A fruitful way for creating any innovative system in a computing environment is to integrate a sufficiently user-friendly interface wit...

this paper represents a new region-based active contour model that can be used to segment images with intensity non-uniformity and high level noise. the main idea of our proposed method is to use gaussian distributions with different means and variances with incorporation of intensity non-uniformity model for image segmentation. in order to integrate the spatial information between neighboring ...

Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using diff...