def splitDika(self,image):
segmentLine=ToLines()
totalLines=segmentLine.segment(image)
pixelCounter = PixelCounter()
for lineNum in range(totalLines):
lineImg=segmentLine.getLineSegment(lineNum)
lineRowRange=segmentLine.getCoordinatesOfLineSegment(lineNum)
countArr=pixelCounter.getCountArr_V(lineImg, 0)
#print countArr
min=pixelCounter.getMin(countArr)
#dika width is min vertically and it is most occurred horizontally
for x in pixelCounter.getOccurredPositionList(countArr, min):
for height in range(lineRowRange[0],(lineRowRange[1]+lineRowRange[0])/2):
cv.Set2D(image,height,x,255)
return image
def splitDika(self, image):
segmentLine = ToLines()
totalLines = segmentLine.segment(image)
pixelCounter = PixelCounter()
for lineNum in range(totalLines):
lineImg = segmentLine.getLineSegment(lineNum)
lineRowRange = segmentLine.getCoordinatesOfLineSegment(lineNum)
countArr = pixelCounter.getCountArr_V(lineImg, 0)
#print countArr
min = pixelCounter.getMin(countArr)
#dika width is min vertically and it is most occurred horizontally
for x in pixelCounter.getOccurredPositionList(countArr, min):
for height in range(lineRowRange[0],
(lineRowRange[1] + lineRowRange[0]) / 2):
cv.Set2D(image, height, x, 255)
return image
def segmentHorizontally(self,img):
self.image=img
pixelCounter=PixelCounter()
pixelCountArr=pixelCounter.getCountArr_H(img,0)
startCountingRows=0
startRowNum=0
rowNumCounter=0
for row in range(len(pixelCountArr)):
if(pixelCountArr[row]!=0):
if(not startCountingRows):
startCountingRows=1
startRowNum=row
rowNumCounter=rowNumCounter+1
else:
if(startCountingRows):
usefulRowRangesTuple=(startRowNum,startRowNum+rowNumCounter)
self.usefulRowRangesList.append(usefulRowRangesTuple)
startCountingRows=0
rowNumCounter=0
#cv.SetZero(cv.GetRow(img, row))
return len(self.usefulRowRangesList)
def segmentHorizontally(self, img):
self.image = img
pixelCounter = PixelCounter()
pixelCountArr = pixelCounter.getCountArr_H(img, 0)
startCountingRows = 0
startRowNum = 0
rowNumCounter = 0
for row in range(len(pixelCountArr)):
if (pixelCountArr[row] != 0):
if (not startCountingRows):
startCountingRows = 1
startRowNum = row
rowNumCounter = rowNumCounter + 1
else:
if (startCountingRows):
usefulRowRangesTuple = (startRowNum,
startRowNum + rowNumCounter)
self.usefulRowRangesList.append(usefulRowRangesTuple)
startCountingRows = 0
rowNumCounter = 0
#cv.SetZero(cv.GetRow(img, row))
return len(self.usefulRowRangesList)
class Modifiers:
segmenter = Segmenter()
pixelCounter = PixelCounter()
def __init__(self):
'Constructor'
#returns horizontal starting row and ending row of dika
def locateDika(self, lineImg):
countArr_V = self.pixelCounter.getCountArr_V(lineImg, 0)
countArr_H = self.pixelCounter.getCountArr_H(lineImg, 0)
dikaWidth = self.pixelCounter.getMin(countArr_V)
max = self.pixelCounter.getMax(countArr_H)
#print max
maxAt = self.pixelCounter.getOccurredPositionList(countArr_H, max)
#print maxAt
return maxAt
#get horizontally occurred pixel count
#+1 or -1 or set some threshold
# OR
# get horizontally most occurred pixel count => say 'x'
# find width of dika
# ?? is this really needed?? position from x-widthDika to x+widthDika can be considered to be dika??
# or may be count the pixels in that row and decide according to certain threshold
''
def extractTop(self, lineImg):
''
dikaList = self.locateDika(lineImg)
rect = CvRect
rect.x = 0
rect.y = 0
rect.width = lineImg.width
rect.height = dikaList[
0] - 2 # -2 is to eliminate disturbances from bha tha dha etc
segmentImg = cv.CreateImage((rect.width, rect.height), cv.IPL_DEPTH_8U,
1)
cv.SetImageROI(lineImg, (rect.x, rect.y, rect.width, rect.height))
cv.Resize(lineImg, segmentImg)
cv.ResetImageROI(lineImg)
cv.ShowImage("TOP", segmentImg)
# locate horizontal dika position
# set roi upper than dika
# extract the roi
def extractMainElement(self, lineImg):
''
#strip top
#strip bottom
#set roi to remaining
#extract roi
#OR
#using height of purnabiram extract all letters of that height
def extractBottom(self, lineImg):
''
