Email: [email protected] [email protected] Abstract: Content-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting...

Automatic image registration is a vital yet challenging task, particularly for remote sensing images. A fully automatic registration approach which is accurate, robust, and fast is required. The registration process is divided into six main steps: feature detection, feature extraction, feature matching, outlier detection and removal, transform model estimation and resampling. In the feature det...

In this paper, we present a new application of image segmentation algorithms and an adaptation of the image segmentation method of Tavakoli et al. to the problem of vegetation segmentation. While the traditional goal of image segmentation is to provide a figure/ground segmentation for object recognition or semantic segmentation to assist humans, we propose to use image segmentation in order to ...

Bacteria live in an ever-changing environment and must alter protein expression promptly to adapt to these changes and survive. Specific response genes that are regulated by a subset of alternative σ(70)-like transcription factors have evolved in order to respond to this changing environment. Recently, we have described the existence of a σ(E) regulon including the anti-σ-factor MseR in the obl...

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

Text characters and strings in natural scene can provide valuable information for many applications. Extracting text directly from natural scene images or videos is a challenging task because of diverse text patterns and variant background interferences. This project proposes a method of scene text recognition from detected text regions. In text detection, our previously proposed algorithms are...

Chav́ın de Huántar is an archaeological site of critical interest for intepreting the Andean archaeological record. In this paper, we present our work on developing an object recognition system to classify Chav́ın pot sherds by decorative impressions. We trained and evaluated MSER and SURF based classification systems on a small labeled set of replica sherds and achieved classification accuracy o...