UW-Madison ECE 533 - Counting Iron-absorbed Small Intestinal

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Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8Slide 9Slide 10Slide 11Slide 12Counting Iron-absorbed Small IntestinalPresented by:Yang WangPei QiECE 533 Digital Image ProcessingInstructor: Prof. HuIntroductionKling lab Research Study iron absorption in premature infants Quantify intestinal iron content in newborn ratsProblem for us To count the number of blue cells contained in a given imageHow to define blue cellOne way Hue value between 144 to 155 A single ‘for’ loop search for any pixel of value with given range Adding total number of searched cells FinishedProblem User decide what is blue, but we can’tLet user to select a couple of sample shapesCorrelation function to find similaritiesHow to define blue cellCorrelation ResultBinary ImagesFinal ResultBefore AfterFinal ResultMatlab Result13ConclusionQuantify intestinal iron content in newborn rats – Count number of blue cells in a given imageOur Method is using correlation functionDEMOComparisonImage Hand Counting Our ProgramDifference20 17 -320 20 023 21 -2Future ImprovementNot very efficiently when handling large size image. Too many loops in program.User Interface is not so good.Solution: refactory the codes, improving efficiency and user


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UW-Madison ECE 533 - Counting Iron-absorbed Small Intestinal

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