def features(inMat, sizeData):
# 抠取中间区域
center_rect = getCenterRect(inMat)
x, y, w, h = center_rect
roi = inMat[y:y + h, x:x + w]
# low data feature
low_data = cv2.resize(roi, (sizeData, sizeData))
VERTICAL = 0
HORIZONTAL = 1
# Histogram feature
vhist = PlateJudger.ProjectedHistogram(low_data, VERTICAL)
hhist = PlateJudger.ProjectedHistogram(low_data, HORIZONTAL)
# print vhist.shape
# print hhist.shape
# print low_data
numCols = vhist.shape[1] + hhist.shape[
1] + low_data.shape[0] * low_data.shape[1]
outMat = np.zeros((1, numCols))
# feature,ANN的样本特征为水平、垂直直方图和低分辨率图像所组成的矢量
index = 0
for i in range(0, vhist.shape[1]):
outMat[0, index] = vhist[0, i]
index += 1
# print outMat
for i in range(0, hhist.shape[1]):
outMat[0, index] = hhist[0, i]
index += 1
for i in range(0, low_data.shape[0]):
for j in range(0, low_data.shape[0]):
outMat[0, index] = low_data[i, j]
index += 1
return outMat
