sensors onboard meteorological satellites such as modis and avhrr are able to collect information adequate in frequency but with low spatial resolution. the problem can be overcome, if one finds a way to increase the quality of the vegetation indices through searching in each individual pixel of the images, employing concurrent higher spatial resolution images. the objective of this study was t...

Every computer vision level crawl with uncertainty, what makes its management a significant problem to be considered and solved when trying for automated systems for scene analysis and interpretation. This is why fuzzy set theory and fuzzy logic is making many inroads into the handling of uncertainty in various aspects of image processing and computer vision. The growth within the use of fuzzy ...

In many image processing applications the image quality should be improved to support the human perception. The image quality evaluation by the human observers is, however, heavily subjective in the nature. Different observers judge the image quality differently. In many cases the relevant part of image information which is perceived by the observer should reach a maximum. In this work we prese...

We introduce an objective function-based fuzzy clustering technique that incorporates linear combinations of attributes in the distance function. The main application eld of our method is image processing where a comparison pixel by pixel is usually not adequate, but the environmnet of a pixel or groups of pixels characterize important properties of an image or parts of it. In addition, our app...

Now a day’s lung cancer is the leading cancer among all human beings. Early detection of lung cancer can help in a sharp decrease in the lung cancer death rate, which accounts for more than 17% percent of the total cancer related deaths. Presence of lung cancer can be identified with the help of a CT image of lung. Doctor analyses the CT image and predicts the presence of cancer nodule. This ma...