# -*- coding:utf-8 -*-
__author__ = 'lwp'
import cv2.cv as cv
import numpy as np
import matplotlib.pyplot as plt

# 文件路徑
path = '/media/lwp/A/4.bmp'
# 載入一張圖片，參數(shù)cv.CV_LOAD_IMAGE_GRAYSCALE為打開(kāi)為灰度圖
lwpImg = cv.LoadImage(path, cv.CV_LOAD_IMAGE_GRAYSCALE)
# 創(chuàng)建圖像空間，參數(shù)為size, depth, channels，這里設(shè)置的是圖片等高寬30個(gè)像素的一個(gè)區(qū)域，8位，灰度圖
box_lwpImg = cv.CreateImage((30, 576), 8, 1)

# 創(chuàng)建窗口
cv.NamedWindow('test1', cv.CV_WINDOW_AUTOSIZE)
cv.NamedWindow("box_test1", cv.CV_WINDOW_AUTOSIZE)

# 設(shè)置ROI區(qū)域，即感興趣區(qū)域，參數(shù)為x, y, width, heigh
cv.SetImageROI(lwpImg, (390, 0, 30, 576)) 
# 提取ROI，從lwpImg圖片的感興趣區(qū)域到box_lwpImg
cv.Copy(lwpImg, box_lwpImg)

# 對(duì)box區(qū)域進(jìn)行循環(huán)提取像素值存到列表pixel_list中
pixel_list = []
for i in range(576): # 576為box的高
  for j in range(30): # 30為box的寬
    x = box_lwpImg[i, j]
    pixel_list.append(x)

# 提取的像素值轉(zhuǎn)為int整型賦給一維數(shù)組pixel_list_np_1
pixel_list_np_1 = np.array(pixel_list, dtype=int)
# 轉(zhuǎn)為576*30的二位數(shù)組，即按圖片box排列
pixel_list_np_2 = np.array(pixel_list_np_1).reshape(576, 30)
# 行求和，得到576個(gè)值，即每行的像素信息
pixel_sum = np.sum(pixel_list_np_2, axis=1)

# 取消設(shè)置
cv.ResetImageROI(lwpImg)

# 畫(huà)目標(biāo)區(qū)域
lwpImg = cv.Rectangle(lwpImg, (390, 0), (425, 576), (0, 255, 0), 2)
# 顯示圖像
cv.ShowImage('test1', lwpImg)
# 查看列表list長(zhǎng)度，以確定像素值提取準(zhǔn)確
list_length = len(pixel_list)
print list_length

# 查看數(shù)組維度，shape驗(yàn)證
print pixel_list_np_1.ndim
print pixel_list_np_1.shape
print pixel_list_np_1

print pixel_list_np_2.ndim
print pixel_list_np_2.shape
print pixel_list_np_2

print pixel_sum

# 畫(huà)條形圖
plt.figure(1)
width = 1
for i in range(len(pixel_sum)):
  plt.figure(1)
  plt.bar(i, pixel_sum[i], width)
plt.xlabel("X")
plt.ylabel("pixel_sum")
plt.show()

# 按ESC退出，按s保存圖片
k = cv.WaitKey(0)
if k == 27:         # wait for ESC key to exit
  cv.DestroyAllWindows()
elif k == ord('s'):     # wait for 's' key to save and exit
  cv.WriteFrame('copy_test.png', lwpImg)
  cv.DestroyAllWindows()