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The following attributed grammar has been proposed to diagnose various types of stenosis shape: GCA = VN VT , SP, STS), where: VN = STENOSIS, U, H, D the set of non-terminal symbols VT = h, u, d for h 10 10 u 10 90 d 10 90 the set of terminal symbols STS = STENOSIS the grammar start symbol Production set SP is defined in Table 141 In the presented grammar, the first in the production set sequence defines the potential shapes of stenoses which can occur in the coronary vessel lumen Further introductory steps in this grammar describe a linguistic formula defining the descending and ascending parts of the analyzed stricture The last production defines a horizontal segment, which can occur between those parts Semantic variables he and we define the height and length of the terminal segment labeled e.



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NeOCR is a free software based on Tesseract (Open Source OCR Engine) for the Windows operating system. It provides an easy and user-friendly user interface to recognize texts contained in images as well as PDF documents and convert to editable text formats (.txt, .doc, .docx).

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You ve already derived the scale transformation matrix in 2 2, so you should also have no trouble extending it to the 3 3 form.

QO= F ( M ( Y o ) A ) and @

The rotation matrix looks a little odd to Cartesian-centric thinking:

| x | | cos( ) | y | = | -sin( ) | 1 | | 0 sin( ) cos( ) 0 0 | | x | | xcos( )+ ysin( ) | 0 | | y | = | ycos( ) xsin( ) | 1 | | 1 | | 1 |

Q1 =

Note that although the rotation property expects degrees, this is not the natural unit for transformation matrices: must be measured in radians.





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Their role in diagnosing and presenting the diagnosis to doctors is auxiliary The considerable simplicity of the grammar presented here results from a small number of morphological lesions, which this grammar describes It also proves the significant generation power of context-free grammars applied to analyze and recognize medical images The use of attributes is aimed at determining additional numeric parameters of the diagnosed stricture, which allow the determination of the percentage rate of the coronary artery lumen stenosis, important for the prognosis of the patient s state With the application of the context-free grammar presented in this section, it is possible to diagnose various types of coronary stricture with great precision In the case of syntactic analysis with the use of those grammars, we are dealing with a situation in which the recognizing software almost automatically supplies practically complete information about irregularities of the examined arteries.

| x | | 1 c 0 | | x | | x + cy | | y | = | b 1 0 | | y | = | y + bx | | 1 | | 0 0 1 | | 1 | | 1 |

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F ( M ( Y 1 )@ A ) .

To shear horizontally, set c to the amount of shear, and keep b at 0. To shear vertically, set b and keep c at 0. You can skew in both directions, too. It might be fun to play with how these values affect the shear, as shown in Example 34-1. EXAMPLE 34-1

package { import flash.display.Shape; import flash.display.Sprite; import flash.display.Stage; import flash.events.Event; import flash.geom.Matrix; public class ch34ex1 extends Sprite { protected var shape:Shape; public function ch34ex1() { shape = new Shape(); shape.graphics.beginFill(0); shape.graphics.drawRect(0, 0, 300, 300); shape.graphics.endFill(); addChild(shape); addEventListener(Event.ENTER_FRAME, onEnterFrame); } protected function onEnterFrame(event:Event):void { var s:Stage = stage; var xmouse:Number = (s.mouseX - s.stageWidth/2) / s.stageWidth; var ymouse:Number = (s.mouseY - s.stageHeight/2) / s.stageHeight; var m:Matrix = new Matrix(1, ymouse, xmouse, 1, 100, 100); shape.transform.matrix = m; } } }

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