class ToWords(object):
segmenter=Segmenter()
def __init__(self):
'''
constructor
'''
self.segmenter=Segmenter()
def segment(self,image):
transImg=cv.CreateImage((image.height,image.width), cv.IPL_DEPTH_8U, 1)
cv.Transpose(image, transImg)
'returns Number of available line segments'
return self.segmenter.segmentHorizontally(transImg)
def getWordSegment(self,wordNumber):
'returns line segment Image'
image=self.segmenter.getSegment(wordNumber)
return image
def getReadableWordSegment(self,wordNumber):
'returns transposed form of line segment Image'
image=self.segmenter.getSegment(wordNumber)
transImg=cv.CreateImage((image.height,image.width), cv.IPL_DEPTH_8U, 1)
cv.Transpose(image, transImg)
return transImg
class ToCharacters(object):
segmenter = Segmenter()
def __init__(self):
'''
constructor
'''
self.segmenter = Segmenter()
def segment(self, image):
'returns Number of available character segments in a line'
return self.segmenter.segmentHorizontally(image)
#returns the same but manipulated line 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
class ToWords(object):
segmenter = Segmenter()
def __init__(self):
'''
constructor
'''
self.segmenter = Segmenter()
def segment(self, image):
transImg = cv.CreateImage((image.height, image.width), cv.IPL_DEPTH_8U,
1)
cv.Transpose(image, transImg)
'returns Number of available line segments'
return self.segmenter.segmentHorizontally(transImg)
def getWordSegment(self, wordNumber):
'returns line segment Image'
image = self.segmenter.getSegment(wordNumber)
return image
def getReadableWordSegment(self, wordNumber):
'returns transposed form of line segment Image'
image = self.segmenter.getSegment(wordNumber)
transImg = cv.CreateImage((image.height, image.width), cv.IPL_DEPTH_8U,
1)
cv.Transpose(image, transImg)
return transImg
class ToCharacters(object):
segmenter=Segmenter()
def __init__(self):
'''
constructor
'''
self.segmenter=Segmenter()
def segment(self,image):
'returns Number of available character segments in a line'
return self.segmenter.segmentHorizontally(image)
#returns the same but manipulated line 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
class ToLines(object):
segmenter=Segmenter()
def __init__(self):
'''
constructor
'''
self.segmenter=Segmenter()
def segment(self,image):
'returns Number of available line segments'
return self.segmenter.segmentHorizontally(image)
def getLineSegment(self,lineNumber):
'returns line segment Image'
return self.segmenter.getSegment(lineNumber)
def getCoordinatesOfLineSegment(self,lineNumber):
return self.segmenter.getRowRange(lineNumber)
def getPixelCountsOfLineSegment(self,lineNumber):
#print self.segmenter.getPixelCountsOfSegment(lineNumber)
return self.segmenter.getPixelCountsOfSegment(lineNumber)
