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The second method is to center the CR image on the screen without altering its size For an image size smaller than the screen, the screen is lled with blank (black) pixels and lines For an image size larger than the screen, only a portion of the image is displayed; a scroll function is used to roam the image (see 12) Similar methods can be used for DR images 10612 Background Removal The second CR preprocessing function is to remove the image background due to X-ray collimation In pediatric, extremity, and other special localized body part images, collimation can result in the inclusion of signi cant white background that should be removed in order to reduce unwanted background in the image during soft copy display This topic was extensively discussed in Section 334, with results shown in Figure 315.

from Tkinter import * from socket import * import cPickle, threading, sys # Each message is a command + data CMD_JOINED,CMD_LEFT,CMD_MSG,CMD_LINE,CMD_JOINRESP = range(5) people = {} # key = (ipaddr,port), value = (name,color) def sendMsg(msg): sendSock.send(msg,0) def onQuit(): User clicked Quit button sendMsg(chr(CMD_LEFT)) # Notify others that I m leaving root.quit() def onMove(e): Called when LButton is down and mouse moves global lastLine,mx,my canvas.delete(lastLine) # Erase temp line mx,my = e.x,e.y # Draw a new temp line lastLine = \ canvas.create_line(dx,dy,mx,my,width=2,fill= Black )

Previously we said that FTP provides an interactive interface for end users, provides user access control, and that the format of the data stored can be of various types. Now, let s take a look at some of these functions. For the examples in the following sections, we used a Microsoft Windows PC via

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A list is an ordered collection of zero or more elements. An element of a list can be any sort of object. You can write lists as a comma-separated collection of values enclosed in square brackets. For example:

After background removal, the image size will be different from the standard L, H , and B sizes To center an image such that it occupies the full monitor screen, it Is advantageous to automatically zoom and scroll the background removed image in the center of the screen for an optimal display Zoom and scroll functions are standard image processing functions and are discussed in 12 Similar methods can be applied to DR images 10613 Automatic Orientation The third CR preprocessing function is automatic orientation Properly oriented means that when the image displayed on a monitor, it is custom by the radiologist s reading the hard cope from a light box Depending on the orientation of the imaging plate with respect to the patient, there are eight possible orientations (see Figure 1012).

5 At the Specify insertion point or [Scale/X/Y/Z/Pscale/PX/PY/PZ/Protate]: prompt, pick any point near the top of your screen Notice that the insertion point is at the top-left corner of the image 6 Press Enter to accept the defaults for X and Y scales and rotation angle Notice that you ve lost the solid fill in the logo The red rectangle came in fine Also, you may see an added rectangle around the extents of the image where the extents of the screen were when the WMF file was created 7 Pick the image Notice that everything is selected with one grip at the insertion point Choose Explode from the Modify toolbar 8 Choose Tools Inquiry List, and pick any part of the logo Press Enter Notice from the listing that the logo is now made up of polylines Repeat the LIST command with the text.

wr indicates the beam radius re ected off the PCM. The wavefront radius of the re ected beam is inverted Rr 2Ri. These equations for the beam radius and wavefront radius are derived from the general formulas in [52] for the special case of sharp focusing [52]. The round-trip self-consistency condition in the laser resonator has to be based on the ABCD law for optical systems containing phase conjugate optics, as described in Eq. (5). The eigensolution of this SBS-PCR consists of the following discrete eigenmode parameters in the plane of the SBS-PCM: s ~ lB , wi bp ~ B ~ A

An image can be oriented correctly by rotating it 90 clockwise, 90 counterclockwise, or 180 , or by the y-axis ipped AP or PA Chest The algorithm rst determines the body region from the image header Three common body regions are the chest, abdomen, and extremities Let us rst consider the automatic orientation of the anterior posterior (AP) or PA chest images For AP or PA chest images, the algorithm searches for the location of three characteristic objects: spine, abdomen, and neck or upper extremities To nd the spine and abdomen, horizontal and vertical pixel value pro les (or line scans), evenly distributed through the image, are taken The average density of each pro le is calculated and placed in a horizontal or a vertical pro le table The two tables are searched for local maxima to nd a candidate location.

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