In several last years a huge expansion of the optical measuring systems in industry and manufacturing is observed. The most advanced systems are the 3D geometry scanning systems based on images captured by cameras. A special group of them use structural light patterns projected onto the scanning surface and observed by the cameras. An appropriate coding and analysis of images allows obtaining a...

Ray tracing is one of the most important techniques in computer graphics for rendering high quality and photorealistic pictures. In it, at least one ray is cast into the scene for each pixel of the image. If the ray hits an object, it may produce other rays, such as reflection, shadow, and refraction rays to determine the color of the associated pixel (see [1] for more details). Ray tracing dea...

analysis and design of object oriented is onemodern paradigms for developing a system. in this paradigm, there are several objects and each object plays some specific roles. identifying objects (and classes) is one of the most important steps in the object-oriented paradigm. this paper makes a literature review over techniques to identify objects and then presents six taxonomies for them. the f...

The use of a hybrid approach classification, which combines pixels and objects, has been shown to be suitable for the identification of Landscape Units that contain a variety of land cover objects using VHSR images. However, the pixel-based classification of remote sensing images performed with different classifiers usually produces different results. With the combination of the outputs of a se...

In this study, this researcher designed the routine of image analysis with object concept, so as to increase the efficiency of displacement interpretation of structure by digital image analysis. For the hierarchical connection performance of analysis routine, this researcher formed the constant attribute of objectification of photogrammetry process by constituting the classes such as target loc...

This paper proposes an unsupervized offline video object segmentation method that introduces a number of improvements to existing work in the area. It consists of the following steps. The initial segmentation utilizes object color and motion variance to more accurately classify image pixels in the first frame. Histogram-based merging is then employed to reduce oversegmentation of the first fram...

Advances in remote sensing such as increasing spatial/spectral resolutions have strengthened its ability of urban environmental analysis. Unfortunately, high spatial resolution imagery also increases internal variability in landcover / use unit, which can cause consequent classification result showing a “salt and pepper” effect. To overcome this problem, region-based classification has been use...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

This paper pertains to the detection of objects located in complex backgrounds. A feature-based segmentation approach to the object detection problem is pursued, where the features are computed over multiple spatial orientations and frequencies. The method proceeds as follows: A given image is passed through a bank of even-symmetric Gabor lters. A selection of these ltered images is made and ea...