Image segmentation is an important process in computer vision. Recently fuzzy logic based edge detection heavily investigated as by changing the number of rules can be improved. However, due to large colour variations images false edges are detected and even using they cannot reduced significantly. These falsely controlled smoothen filter while controlling degree smoothness. This paper, present...

Content Based Image Retrieval’s play a dominant role in Image Retrieval’s based on some features specified within the image. Content Based Image Retrieval’s are very much useful in situations like crime detection where the identification of criminal can be done using the contents (Biometric features) of the accused. In this methodology we formulate the features using Generalized Gaussian Mixtur...

This paper presents a novel approach to automatic classifying and identifying of tree leaves using image segmentation fusion. With the development of mobile devices and remote access, automatic plant identification in images taken in natural scenes has received much attention. Image segmentation plays a key role in most plant identification methods, especially in complex background images. Wher...

The present work aims to introduce an efficient set of high spatial resolution (HSR) images in order to more fairly evaluate building detection algorithms. The introduced images are chosen from two recent HSR sensors (QuickBird and GeoEye-1) and based on several challenges of urban areas encountered in building detection such as diversity in building density, building dissociation, building sha...

X. C. Zhang,1 G. Mazzeo,2 A. Brataas,3 M. Xiao,1 E. Yablonovitch,4 and H. W. Jiang1 1Department of Physics and Astronomy, University of California at Los Angeles, 405 Hilgard Avenue, Los Angeles, California 90095, USA 2Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, California 90095, USA 3Department of Physics, Norwegian University of Science and Tech...