This paper presents a technique to determine optimal window sizes for the computational methods utilized to extract features from textured images. Those features are useful for both texture classification and segmentation. Window sizes are determined in order to outperform two complementary tasks, namely, texture feature evaluation and texture segmentation, which have opposite requirements. Thu...

Texture gradient is a popular operation for extracting features used for content-based image retrieval (CBIR) of texture images. It is useful for depicting gradient magnitude and direction of adjacent pixels in an image. In this thesis, we proposed two methods for retrieving texture images. In the first method, discrete wavelet transform (DWT) and gradient operation were combined to extract fea...

in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...

This thesis presents the development of a theoretical framework capable of encompassing the colour and texture information in a robust image descriptor that can be applied to the identification of coherent regions in complex natural images. In the suggested approach, the colour and texture features are extracted explicitly on two independent channels and the main emphasis of this work was place...

We present an image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm is based on a previously proposed algorithm but introduces a number of new elements. We use a new set of texture features based on a steerable filter decomposition. The steerable filters combined with a new spatial texture segmentation scheme provide a finer and more...

Characterization of benign and malignant focal kidney lesions such as angiomyolipomas (AMLs) and renal cell carcinomas (RCCs) from ultrasound images is an intimidating task for radiologists due to their enormously overlaying sonographic presences. In the present work the main focus is on the aspect of variations in texture patterns shown by focal kidney lesions. In order to visualise these text...

Sea ice information obtained from synthetic aperture radar (SAR) images is crucial for ensuring safe marine navigation and supporting climate change studies in polar regions. We propose a kernel principal component analysis (KPCA) local texture feature model for efficient sea ice segmentation. The proposed KPCA texture feature model is significant for several reasons. First, it takes into accou...

These approaches utilize different features for face recognition purpose. The feature utilized for face recognition are shape, distance between two traits of face, texture features for face. Texture features are particularly susceptible to the resolution of images, when the resolution changes the calculated textures are not accurate. Texture features computed for low resolution face images does...

Texture is an important visual feature for content-based image retrieval. An ideal content-based retrieval system should compare images in its database with the query in a manner that is consistent with human’s perception of visual similarity. Moreover, texture matching should be invariant to texture scale and orientation because the same texture can appear in the images in varying scales and o...

We address the issue of segmenting multiple textured objects in presence of a background texture. The proposed technique is based on Geodesic Active Contour (GAC) and can segment multiple textured objects from the textured background. For an input texture image, a texture feature space is created using scalogram obtained from discrete wavelet transform (DWT). Then, a 2-D Riemannian manifold of ...