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Grout used in masonry construction is defined by ASTM C 476 Standard Specification for Grout for Masonry Two grout types are classified by that standard: fine and coarse Fine grout is made with fine aggregates (sand) only Coarse grout is made with both fine aggregates (sand) and coarse aggregates (pea gravel) The appropriate type of grout to be used in the construction is dependent upon the size of the grout space to be filled and the height to which the masonry is constructed prior to placing the grout Grout placement is discussed in 6 Similar to the approach taken by ASTM C 270 for mortar, grout may be specified by either a proportion method or by strength requirements Testing is not required for the proportion or prescriptive approach but is needed for the strength or performance approach It is inappropriate to require that both the relative volumetric proportions be followed and that the strength requirements be met Only one method should be used to specify grout Both methods yield grout of equivalent quality The proportion requirements for grout are given in Table 217 These proportions are based on relative volumes of materials, not weights Refer to Table 215 for bulk densities of materials used in mortar and grout so that volumetric proportions can be converted into weight proportions Refer to Table 22 for the types of cements that may be used in grout Note that masonry cement

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The classic paper on the properties of reflectance maps and shading in images was written by Horn [108] Radiometric concepts are also described in detail in the book Robot Vision [109] The first algorithm for shape from shading using the method of characteristics was developed by Horn [107] There are several papers on shape from shading algorithms which are compiled in book form [112] Photometric stereo was originally developed by Horn and Woodham A recent reference is the paper by Woodham [256] Nayar

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Note that masonry cement and mortar cement are not permitted in grout, and the use of lime in grout is entirely optional

2 Radius z x' y' Lens center (0,0,4)

and lkeuchi [181]present a photometric stereo algorithm that estimates the mixture of Lambertian to specular components in a scene surface

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91 A Lambertian cone with its axis located along the z axis is illuminated by a distant light source as shown in Figure 96 a Sketch the reflectance map of this illumination condition-in particular, the contour with R(p, q) = 0 and R(p, q) = 05 (ie, find and sketch the equation of the corresponding contours in the (p, q) plane) b Neglecting off-axis effects, sketch the image projected on the xy plane and identify the contour of maximum brightness in the image 92 Equation 911 relates the energy emitted in a particular direction to the amount of incident energy Prove that this relationship is a linear system A linear system has the properties of homogeneity and superposition Assume that the incident illumination and the bidirectional reflectance distribution function are arbitrary a Show that if the illumination is I = all for some constant a, then the radiance is aLl, where Ll is the radiance corresponding to illumination h This property is called homogeneity

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ASTM C 476 Grout Proportions by Volume Parts by Volume of Hydrated Lime or Lime Putty 0 to 1/10 0 to 1/10 Aggregate, Measured in a Damp, Loose Condition Fine 2-1/4 to 3 times the sum of the volumes of the cement and lime 2-1/4 to 3 times the sum of the volumes of the cement and lime Coarse 1 to 2 times the sum of the volumes of the cement and lime

Other characteristics such as the mean and variance of intensity values, although not symbolic representations, are also commonly used to represent regions in an image These measures are straightforward generalizations of the calculations introduced in 2 In addition, other applicationdependent features of a region may be represented When representing an image for interpretation, we may be required to represent relationships among neighboring regions also

When implementing region merging and splitting algorithms for segmenting an image (discussed in Section 34), information about the regions which have been formed must be maintained in some data structure Since merge and split operations use information about boundaries between regions, as well as general characteristics of the regions, several data structures have been proposed to allow easy manipulation of region characteristics In this section, we will discuss a few data structures that facilitate region merging and splitting Region Adjacency Graphs

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