Appeal 2006-2959
Application 10/066,277
the computer by assigning functions to each button and by recording such
assignments in the configuration file of concrete inspection software on the
computer. (col. 3, l. 65-col. 4, l. 5). As the computer stops at a particular
interval along the traverse pattern, an operator identifies whether
encountered cross hairs are in an air void, paste or aggregate by pressing a
customized button on the computer. (col. 4, ll. 54-61; col. 5, ll. 11-18). The
operator subsequently records in the computer the beginning and ending
coordinate data for air-voids encountered along the traverse pattern. (col. 5,
ll. 38-43). The computer uses such recorded coordinate data to calculate the
air void contents. (col. 5, ll. 52-55). Data analysis result is subsequently
displayed on the computer monitor or printed on a computer printer (col. 5,
ll. 63-65).
Wallack discloses a method and system for inspecting the image of a
sample object to detect the features of the object. (Abstract). Particularly,
Wallack teaches that after acquiring an image data, it is segmented into
objects and background pixels to identify and analyze the features of the
sample object. (Figure 2). Wallack also suggests that the segmented image
may be converted into a run-length encoded image to result in a faster image
analysis, which requires and less storage capacity. (col. 6, ll. 27-37).
Mitsuyama teaches a region segmentation technique for
differentiating between the background region and the object region of a
segmented image. (Abstract). Particularly, Mitsuyama uses color
information of an image to achieve an accurate segmentation of the image.
(col. 4, ll. 40-54).
7
Page: Previous 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Next
Last modified: September 9, 2013