Collagen morphology and texture analysis: from statistics to classification

Collagen morphology and texture analysis: from statistics to classification

In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics (FOS) and second-order statistics such as gray level co-occurrence matrix (GLCM) was explored to extract second-harmonic generation (SHG) image features that are associated w...

Mathematical morphology and texture analysis

This talk presents our researches on the application of mathematical morphology, which is a mathematical framework of quatitative image manipulations, to the characterization and manipulation of textures. A texture is considered as a repetitive arrangement of homothetic magnifications of a small object called primitive. The shape and arrangement of the primitive are estimated by a method based ...

Texture classification with textons A Statistical Approach to Texture Classification from Single Images

We investigate texture classification from single images obtained under unknown viewpoint and illumination. A statistical approach is developed where textures are modelled by the joint probability distribution of filter responses. This distribution is represented by the frequency histogram of filter response cluster centres (textons). Recognition proceeds from single, uncalibrated images and th...

Inferring Galaxy Morphology Through Texture Analysis

Galaxies are not static objects; they evolve by interacting with the gas, dust and other galaxies in the surrounding environment. The most visible tracer of galaxy evolution is the diverse range of galaxy morphologies that have been observed. Scientists are interested to know the distribution of morphological types of the early Universe and how it has changed over time. They also want to know h...

Texture Analysis by Space Filter and Application to Foresttype Classification