Download Image Analysis: 15th Scandinavian Conference, SCIA 2007, by Erik Jonsson, Michael Felsberg (auth.), Bjarne Kjær Ersbøll, PDF

By Erik Jonsson, Michael Felsberg (auth.), Bjarne Kjær Ersbøll, Kim Steenstrup Pedersen (eds.)

The current quantity includes the lawsuits of the Scandinavian convention on snapshot research, SCIA 2007, held at inn Hvide Hus, Aalborg, Denmark, June 10–14, 2007. Initiated in 1979 by means of Torleiv Orhaug in Sweden, SCIA 2007 represented the fifteenth within the biennial sequence of meetings. it truly is prepared in flip by way of the Scandi- vian international locations of Sweden, Finland, Denmark, and Norway, making it a nearby convention. even if, judging through the nationalities of contributing authors and members, it's also a world convention. around the globe, there is not any loss of meetings on photograph research. certainly, rarely an afternoon passes with out a press release of yet one more convention. hence the development reputation societies of the Scandinavian nations take specific delight in with the ability to proceed the SCIA culture. SCIA has certainly matured over the various years it's been in lifestyles, yet in our opinion SCIA has maintained ?- ibility and has been capable of undertake and contain valuable adjustments and adju- ments over that point span. a tremendous key to the luck of SCIA is the consistent and carrying on with top of the range of the scienti?c content material. in addition, the secure and pleasant surroundings of the convention itself is widely known in the group. the target to remember needs to be to proceed alongside these lines.

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Additional resources for Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007

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3. Performing the first two steps corresponds to creating a single cell in figure 1. , maxQuant}. To detect objects in a single scale we use a sliding window approach, where an image is scanned by a so-called search or detection window. In order to look for candidates, the quangle masks need to be assigned to positions (i, j) within the detection window x. This defines at the same time our quangle features. We furthermore distinguish between two different types: Equation (3a) describes a quangle feature using the original gradient angle, whereas in equation (3b) double angle representation is employed.

The two lowermost images show examples of automatic segmentation results in rather complex images, where the background is practically similar to the objects of interest. In the lower-left image only one fish has passed the initialization criterion. The segmented contour misses the tail somewhat. In the lower-right image the lowermost fish is correctly segmented. The contour of the uppermost fish misses the upper part of the fish, whereas the contour of the fish in the central region of the image is a bit too small.

Kollreider, H. Fronthaler, and J. Bigun Fig. 3.

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