To effectively detect the camouflaged target in the complex background, the target detection method based on 3D convexity is proposed in this article. This method uses a new operator which can fully utilize the representative image gray level represented by the convexity structure of the target, set up appropriate threshold to eliminate the influence of the background noise by the median filter...

Detecting the edges of objects within images is critical for quality image processing. We present an edge-detecting technique that uses morphological amoebas that adjust their shape based on variation in image contours. We evaluate the method both quantitatively and qualitatively for edge detection of images, and compare it to classic morphological methods. Our amoeba-based edge-detection syste...

Article history: Received 25 January 2014 Received in revised form 8 April 2014 Accepted 20 April 2014 Available online 10 May 2014

Mixed reality techniques are presented. Implementation and application of CAMSHIFT algorithm is discussed to some extent. In the initial stage of the research the technology of real object’s edge detection and geometrical figures’ representation in the virtual scene has been worked out.

Psychophysical data suggest that temporal modulations of stimulus amplitude envelopes play a prominent role in the perceptual segregation of concurrent sounds. In particular, the detection of an unmodulated signal can be significantly improved by adding amplitude modulation to the spectral envelope of a competing masking noise. This perceptual phenomenon is known as “Comodulation Masking Releas...

The evaluation of vision systems is not possible without parameter control as incorrect parameter adjustment can cause performance losses that are more signiicant than the eeect of the component being tested. In this paper we present a model for the contour extraction process and derive from it a method for automatic parameter control. The method works with arbitrary edge detectors, edge types ...

The problem of extracting spectral lines from sonar images is treated using a complete scheme that combines an edge detector with a line tracking process. That is, the edge detection process allows lter-ing the sonar image and nding a region (zero-crossings of the second derivative of the sonar image) that includes a spectral line. The founded region is then used to initialize and to limit the ...

For being able to automatically acquire information recorded in church registers and other historical scriptures, the text of such documents needs to be segmented prior to automatic reading. Segmentation of old handwritten scriptures is difficult for two main reasons. Lines of text in general are not straight and ascenders and descenders of adjacent lines interfere. The algorithms described in ...

This paper presents a three-module strategy for edge detection. The first and the last module involve well-known methods: the first module is a parallel process computing local edge strength and direction while the last module is a sequential process following edges. The originality of the overall method resides in the intermediate module, seen as a generalization of the nonmaximum deletion alg...