We present a system for automated image annotation which is capable of detecting concepts such as sky, water and man-made structure in color images. The processing of each image consists of a feature extraction stage and a grouping stage. The ensuing concept-recognition is accomplished using a decision tree. The pixel-level features consist of basic color and texture information. The color info...

Visual simulation systems that utilize a terrain database often do not require total geo-specific accuracy. Instead, a believable “geo-approximate” representation can be utilized. For example, given an area containing a forest, it is usually not necessary to have each tree accurately represented in the imagery. Therefore, a database modeler will typically apply a repeatable texture of a tree ca...

Abstract— The aim of our research was to develop a method that allows us automatically to discover the decision rules for diagnosing medical images in normal tissue images and images showing a polyp. We used a data set of images that came from an endoscope video system used for colon examination. The data set contains 283 normal tissue images and 61 polyp images. The 283 normal images consist o...

This paper reports on the empirical comparison of seven machine learning algorithms in texture classification with application to vegetation management in power line corridors. Aiming at classifying tree species in power line corridors, object-based method is employed. Individual tree crowns are segmented as the basic classification units and three classic texture features are extracted as the ...

New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new technique that uses a dual tree of wavelet filters to obtain the real and imaginary parts of complex wavelet coefficients. When applied in two dimensions the DT-CWT produces shift invariant orientated subbands. Both is...

Surface metrology with image processing is a challenging task having wide applications in industry. Surface roughness can be evaluated using texture classification approach. Important aspect here is appropriate selection of features that characterize the surface. We propose an effective combination of features for multi-scale and multi-directional analysis of engineering surfaces. The features ...

The main key point of preferential image segmentation is to segment object of user interest based on intensities, boundaries and texture and ignoring the remaining portions. It utilizes a tree of shapes to represent the image content. This representation provides a hierarchical tree for the objects contained in the level sets of the image. The hierarchical structure is utilized to select the ca...

The tree-structured wavelet transform has received a lot of attention and has found successful applications in signal denoising, image coding, image analysis, etc. In this paper, we present an analysis of the structural stability of the tree-structured wavelet transform, a topic which has not been addressed properly in previous research. We also present a texture classification algorithm based ...

abstract- to study the effect of tree roots on increasing water infiltration in soil and also to determine and assess the coefficients of different infiltration models, some infiltration tests were performed in three tree plantation areas in badjgah, fars province with different soil textures (clay loam for pear plantation, sandy loam for grape plantation, loamy sand for pine trees). in each pl...