def RemoveBlankBorder(image):
"""
删除整体图像边界处留白
"""
img = image.copy()
width, height = img.size
pix = img.load()
#处理左边界
for y in range(height):
ocr_segmentation.get_block_fast(pix, 0, y, width, height)
ocr_segmentation.get_block_fast(pix, width-1, y, width, height)
for x in range(width):
ocr_segmentation.get_block_fast(pix, x, 0, width, height)
ocr_segmentation.get_block_fast(pix, x, height-1, width, height)
return img
def Denoise_kmeans_fast(image):
image_block = image.copy()
pix_image_block = image_block.load()
width, height = image_block.size
block_list = []
data = []
print "Get Block"
for x in range(width):
for y in range(height):
if pix_image_block[x, y] > 0:
#print "before:",(x, y),image_block.histogram()[255]
#print "id:",id(pix_image_block)
block = ocr_segmentation.get_block_fast(pix_image_block, x, y, width, height)
#print "after:", image_block.histogram()[255],len(block)
#sss = raw_input()
data.append(len(block))
block_list.append(block)
print "数据长度:", len(data)
k1 = kmeans.KMeans(3)
k1.SetCenter([1, 20, 100])
k1.SetData(data)
k1.Run()
img = image.copy()
pix = img.load()
for i in k1.Group[0]["data"]:
for x, y in block_list[i]:
pix[x, y] = 0
return img