Meningioma subtype classification is a complex pattern classification problem of digital pathology due to heterogeneity issues of tumor texture, low inter-class and high intra-class texture variations of tumor samples, and architectural variations of cellular components. The basic aim is the achievement of significantly high classification results for all the subtypes of meningioma while dealin...

Faces have both shape and skin texture, but the relative importance of the two in face representations is unclear. Our goals were first, to determine the contribution of shape versus texture to aftereffects for facial age and identity and second, to assess whether adaptation transferred between shape and texture, suggesting integration in a single representation. In our first experiment we exam...

ÐWe propose a novel method for object tracking using prototype-based deformable template models. To track an object in an image sequence, we use a criterion which combines two terms: the frame-to-frame deviations of the object shape and the fidelity of the modeled shape to the input image. The deformable template model utilizes the prior shape information which is extracted from the previous fr...

A (‘oni1non assumpt,ion of the shape from texture problc~ri s that i i perceived imago mainly contains only one type of texture with the sanic’ surface orientation. Unfortuiiatelly. a natural image is often composed of more than onc: t,exures. In order t,o solve the shape from tcxturc problern in a practical manner, we need to segment, 3D textured images. In this paper, we propose a new algorit...

In this paper, we propose an intelligent recognition system for objectionable image in JPEG compression domain. First, the system applies robust skin color model and skin texture analysis to detect the skin regions in an input image based on its DC and ACs. Then, the color, texture, shape and statistical features are extracted from the skin regions and input into a decisiontree classifier for c...

This research work presents a supervised classification framework for hyperspectral data that takes into account both spectral and spatial information. Texture analysis is performed to model spatial characteristics that provides additional information, which is used along with rich spectral measurements for better classification of hyperspectral imagery. The moment invariants of an image can de...