Materials surface damage identification based on computer vision technology has become one of the research hotspots in field materials surface. Crack is most common forms material damage. It great significance to carry out intelligent recognition cracks identify and estimate evolution In order improve accuracy crack recognition, a deep residual attention convolution neural network (DRACNN) was ...

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...

An operational scheme for cloud detection for FY-2C data is presented. The scheme consists of two major parts: total cloud detection and high cloud detection. Cloud detection separates cloud from underline surface, for every pixel, it is either clear pixel or is cloudy pixel. High cloud detection separates high cloud from other cloud types.

A recently proposed Intelligent Pixel Mobile Multimedia Communicator (lPM3C) integrates the capture, encoding, decoding and display of optical images into a single array of Intelligent Pixel (IP) processors. The real-time video processing required both for compression of the captured images and decompression of the received data stream presents a significant challenge for the required pixel bas...

Recently, heatmap regression models have become popular due to their superior performance in locating facial landmarks. However, three major problems still exist among these models: (1) they are computationally expensive; (2) usually lack explicit constraints on global shapes; (3) domain gaps commonly present. To address problems, we propose Pixel-in-Pixel Net (PIPNet) for landmark detection. T...

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...

A novel mean-median filter is proposed for the suppression of impulse noise and various artifacts from the digital images. Leading Diagonal Sorting Algorithm is used with the fixed 3x3 size working window to compute the median. Truncated mean is computed by defining the boundaries and truncating the pixel values in the filtering window that fall outside the defined boundary. Noise detection is ...

Identifying users frequent behaviors is considered as a key step to achieve real intelligent environments that support people in their daily lives. These patterns can be used in many different applications. An algorithm that compares current behaviors of the users with previously discovered frequent behaviors and detects shifts has been developed. In addition, it identifies the differences betw...