What is Texture Analysis in Image Processing
Image Processing , Technology & Science / February 18, 2018

In many machine vision and image processing algorithms, simplifying assumptions are made about the uniformity of intensities in local image regions. However, images of real objects often do not exhibit regions of uniform intensities. Extraction of effective features of objects is an important area of research in the intelligent processing of image data.┬áTexture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Overview of Texture Analysis Texture analysis refers to the characterization of regions in an image by their texture content. Texture analysis attempts to quantify intuitive qualities described by terms such as rough, smooth, silky, or bumpy as a function of the spatial variation in pixel intensities. In this sense, the roughness or bumpiness refers to variations in the intensity values, or gray levels. Texture analysis is used in various applications, including remote sensing, automated inspection, and medical image processing. Texture analysis…

An Introduction of Computer Vision
Image Processing , Technology & Science / November 8, 2017

Computer vision is the science and technology of machines that see, and seeing in this case means that the machine is able to extract from an image some information that is necessary for solving some task. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems. Computer Vision : Overview The human ability to interact with other people is based on their ability of recognition. This innate ability to effortlessly identify and recognize objects, even if distorted or modified, has induced to research on how the human brain processes these images. This skill is quite reliable, despite changes due to viewing conditions, emotional expressions, ageing, added artifacts, or even circumstances that permit seeing only a fraction of the face. Furthermore, humans are able to recognize thousands of individuals during their lifetime. Understanding the human mechanism, in addition to cognitive aspects, would help to build a system for the automatic…

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