Mazen M. Selim

Learn More
Content-Based Image Retrieval (CBIR) considers the characteristics of the image itself, for example its shapes, colors and textures. The Current approaches to CBIR differ in terms of which image features are extracted. Recent work deals with combination of distances or scores from different and independent representations. This work attempts to induce high(More)
This paper proposes a new region-based image retrieval technique called Principal Regions Image Retrieval (PRIR). This technique starts by segmenting an image to the most general principal regions and applies a fuzzy feature histogram to describe the color and texture properties of each segmented region. The proposed approach starts by generating a nearest(More)
In this paper, we present a new approach for face recognition system. The method is based on 2D face image features using subset of non-correlated and Orthogonal Gabor Filters instead of using the whole Gabor Filter Bank, then compressing the output feature vector using Linear Discriminant Analysis (LDA). The face image has been enhanced using multi stage(More)
This paper proposes an algorithm to reconstruct a High Resolution (HR) image from a set of blurred, warped, undersampled, and noisy measured images. The proposed algorithm uses the affine block-based algorithm in the maximum likelihood (ML) estimator. It is tested using synthetic images, where the reconstructed image can be compared with its original. A(More)
  • 1