Texturometría

Texturometría is a discipline focused on the quantitative analysis of texture, particularly in the context of images and materials. It involves the development and application of methods to measure, describe, and characterize the spatial arrangement of variations in intensity, color, or other properties within a given sample. The goal of texturometría is to move beyond subjective descriptions of texture to objective, reproducible measurements.

The field draws upon concepts from image processing, statistics, and material science. Techniques employed in texturometría can range from simple statistical measures like variance and standard deviation of pixel values to more complex methods such as co-occurrence matrices, fractal analysis, and filter-based approaches. These methods aim to capture various aspects of texture, including smoothness, coarseness, regularity, and directionality.

Applications of texturometría are widespread. In medical imaging, it is used to analyze tissue structures for disease detection and diagnosis. In remote sensing, it aids in land cover classification and environmental monitoring. Materials science utilizes texturometría to assess the properties of manufactured goods, such as the surface finish of metals or the grain structure of polymers. Computer vision also heavily relies on texturometría for object recognition, image retrieval, and scene understanding. The objective measurement of texture allows for more precise comparisons and the development of algorithms that can reliably differentiate between visually distinct but functionally important textural patterns.