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Understanding And Applying Machine Vision Part 13

Tham khảo tài liệu 'understanding and applying machine vision part 13', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Tessellation Pixel pattern. Most tesselations are square square pixels some are rectangular rectangular pixels . Texture Local variation in pixel values that repeats in a regular or random way across a portion of an image or object. Texture is concerned with the spatial distribution of the gray shades and discrete tonal features. When a small area of the image has little variation of discrete tonal features the dominant property of that area is gray shade. When a small area has wide variation of discrete tonal features the dominant property of that area is texture. There are three things crucial in this distinction 1 the size of the small areas 2 the relative sizes of the discrete tonal features and 3 the number of distinguishable discrete tonal features. Texture Gradient Refers to the increasing fineness of visual texture with depth observed when viewing a two-dimensional image of a three-dimensional scene containing approximately uniform textured surfaces. Three-Dimensional Analysis Type of vision algorithm that develops a three-dimensional model of a part and matches it to stored models. Page 378 Threshold Intensity specific pixel value below which a stimulus produces no effect or response. Dynamic threshold When threshold result depends on the location of a pixel the characteristic pixel value and some local property. Global threshold When threshold result depends only on comparison of a pixel value with a global constant a single brightness value a single color value etc. . Local threshold When threshold result depends on comparison of a joint local property and a characteristic pixel value with a single decision value e.g. Threshold is based on comparing the difference between pixel value and neighborhood value with a global value. Thresholding Scene segmentation process based on converting a gray scale image into a binary image by reassigning pixel gray levels to only two values. Regions of an image are separated based on pixel values above and below a .