A multiresolution approach based on a modified wavelet transform called the tree-structured wavelet transform or wavelet packets is proposed. The development of this transform is motivated by the observation that a large class of natural textures can be modeled as quasi-periodic signals whose dominant frequencies are located in the middle frequency channels. With the transform, it is possible t...

This paper presents a multiscale texture classifier that exploits the Gabor-like properties of the dual-tree complex wavelet transform, shift invariance and 6 directional subbands at each scale, and uses a feature vector comprising of a variance and an entropy at different scales of each of the directional subbands. Experimental results demonstrate its robustness against noise and a higher clas...

Terrestrial Laser Scanning (TLS) technique is today widely used in ground plots to acquire 3D point clouds from which forest inventory attributes are calculated. In the case of mixed plantings where the 3D point clouds contain data from several different tree species, it is important to be able to automatically recognize the tree species in order to analyze the data of each of the species separ...

Abstract: Identification of tree species plays a key role in forestry related tasks like forest conservation, disease diagnosis and plant production. There had been debate regarding the part to be used for differentiation, whether it should leaves, fruits, flowers or bark. Studies have proven that bark is utmost importance as will present despite seasonal variations provides characteristic iden...

Manual segmentation by individual specialists on medical image dataset is time-consuming, expensive, and suffers from considerable inter and intra rater inconsistency. In addition segmentation is hard for the individual expert to combine the information from numerous portions and various channels when multi spectral data has to be examined. Unsupervised segmentation images as occlusions of text...

Inverse halftoning (IH) is used to reconstruct the gray image from an input halftone image. This paper presents a machine learning-based IH algorithm to reconstruct the high quality gray images. We first propose a novel variance gain-based tree construction approach to build up an approximate decision tree (DT). Based on the constructed DT, a texture-based training process is presented to const...

The tidal areas of the oceans are important transition zones between terrestrial and marine ecosystems. In contrast to the non-marine surface of the earth, access to the tidal lands such as the Wadden Sea along the North Sea coast is often difficult. For this reason, remote sensing offers important monitoring tools. In this study, a new change detection approach is presented, adapted to the Wad...