in this paper we present a method related to extracting white blood cells (wbcs) from blood microscopic figures and recognizing them and counting each kind of wbcs. in this method, first we extract the white blood cells from other blood cells by rgb color system's help. in continuance, by using the features of each kind of globules and their color scheme, we extract a normalized feature vector,...

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. In this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (MLP) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

The content-based image retrieval methods retrieve images by image features. In this paper, color and gray affine noisy invariant regions are extracted from a query and database images to help accurate retrieval on different attacks. Also a number of color statistical properties of the color region are computed and color feature vectors establishes for this region. Besides, for the gray region,...

In this report, we propose a wavelet-based content descriptor with which we implement an image retrieval system. Initially, we propose the wavelet-based weighted standard deviation texture descriptor. We then show how to extend this descriptor to characterize both texture and color in images. Thus, we obtain a compact feature vector that characterizes images in terms of both texture and color. ...