The content based image retrieval (CBIR) is one of the most popular, rising research areas of the digital image processing. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools, images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these sys...

Free space detection based on visual clues is an upcoming approach in robotics. Our working domain is the Virtual Rescue League of the RoboCup. In this domain efficient obstacle avoidance is crucial to finding the victims under challenging conditions. In this study a machine-learning approach is applied to distinguish the difference in visual appearance of obstacles and free space. Two color-ba...

A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. Based on minimum error principle and 2D color histogram, the θ-division methods were presented recently, but application of prior knowledge on them has not been explored. For the specific problem of wildfire segmentation, we collect sample images with manually la...

The Color of Waiting is an interactive theater work with music, dance, and video which was developed at STEIM in Amsterdam and further refined at CMMAS in Morelia Mexico with funding from Meet the Composer. Using Max/MSP/ Jitter a cellist is able to control sound and video during the performance while performing a structured improvisation in response to the dancer’s movement. In order to ensure...

In automatic video monitoring, real-time detection and in particular shadow elimination are critical to the correct moving objects segmentation since they severely affect the surveillance process. In this study, we propose a fast and flexible approach of movement detection based on an adaptive background subtraction technique with an effective model of shadow elimination based on color constanc...

An Automatic Road Sign Recognition System {A(RS)2} is aimed at detection and recognition of one or more road signs from real-world color images. The authors have already proposed an A(RS)2 able to detect and extract sign regions from real world scenes on the basis of their color and shape features. Classification is then performed on extracted candidate regions using Multi-Layer Perceptron neur...

Recent research suggests that colorization models have the capability of generating plausible color versions from grayscale images. In this paper, we investigate whether colorization prior to gender classification improves classification performance on the FERET grayscale face dataset. For this, we colorize the images using an existing Lab colorization model, both with and without class rebalan...

Recent research suggests that colorization models have the capability of generating plausible color versions from grayscale images. In this paper, we investigate whether colorization prior to gender classification improves classification performance on the FERET grayscale face dataset. For this, we colorize the images using an existing Lab colorization model, both with and without class rebalan...

Submit Manuscript | http://medcraveonline.com PVC has significant defects due to its quick decomposition at temperature higher than 130°C [3-5]. This process results in a significant change in color, reducing the mechanical properties and the generated HCl exacerbates the decomposition of PVC, so the usage of PVC thermal stabilizers is inevitable [4,6]. Our group had synthesized pentaerythritol...

To ameliorate the quality of filtering, we studied in this paper, the adaptive approach applied in multichannel images. So, we have proposed an Adaptive Vector Median Rational Hybrid Filter (AVMRHF). This filter is based on Adaptive Vector Median Filters (AVMF) and a Vector Rational Function (VRF). The analysis and experimental results reported in this paper indicate that the proposed filter is...