从流程中排除某些维度的图像(OpenCV,Python) [英] Exclude images of certain dimensions from process (OpenCV, Python)
问题描述
使用下一个代码,我可以拍摄一张图像并将其分成包含感兴趣区域的各种较小图像。
Using the next code I can take an image and separate it in various smaller images containing area's of interest.
import cv2
import sys
sys.path.insert(0, 'C:\\Users\\Bob\\Desktop\\Project')
sys.path.insert(0, 'C:\\Users\\Bob\\Desktop\\Project\\FOLDER')
sys.path.insert(0, 'C:\\Users\\Bob\\Desktop\\Project\\READER')
import FOLDER.folders
import READER.extractor
timestr = FOLDER.folders.timestr
################## AREA 1 ##################
# Load the image
img = cv2.imread('C:\\Users\\Bob\\Desktop\\Destination\\' + str(timestr) + '\\EXTRACTED\\' + 'area1.png')
# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# smooth the image to avoid noises
gray = cv2.medianBlur(gray,5)
# Apply adaptive threshold
thresh = cv2.adaptiveThreshold(gray,255,1,1,11,2)
thresh_color = cv2.cvtColor(thresh,cv2.COLOR_GRAY2BGR)
# apply some dilation and erosion to join the gaps - change iterations value to detect more or less area's
thresh = cv2.dilate(thresh,None,iterations = 15)
thresh = cv2.erode(thresh,None,iterations = 15)
# Find the contours
image,contours,hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
# For each contour, find the bounding rectangle and draw it
idx =0
for cnt in contours:
idx += 1
x,y,w,h = cv2.boundingRect(cnt)
roi = gray[y:y + h, x:x + w]
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
cv2.rectangle(thresh_color,(x,y),(x+w,y+h),(0,255,0),2)
cv2.imwrite('C:\\Users\\Bob\\Desktop\\Destination\\' + str(timestr) + '\\EXTRACTED\\ex_area1' + str(idx) + '.png',roi)
这是一个例子:
已加载图片
输出
代码还提供了一些我不想要的小图片(假设是文物)。所有这些图像都低于某些尺寸。
The code give out also some minor images (let's say artifacts) which I don't want. All these images are below some certain dimensions.
我的问题是:我必须添加到上面的代码删除这些图像?要删除下面的图像,例如下一个尺寸:250(宽度)X 60(高度)像素?
My question is: what I have to add to the code above to delete these images ? To delete images which is under, for example, the next dimensions: 250(width) X 60(height) pixels ?
谢谢
提示:使用此代码检测区域:改进文本区域检测(OpenCV,Python)
Tip: Used this code to detect the areas: Improve text area detection (OpenCV, Python)
推荐答案
首先不要写它们。仅写入60 * 250以上的图像。
Just dont write them in the first place. Write only images above 60*250.
for cnt in contours:
idx += 1
x,y,w,h = cv2.boundingRect(cnt)
roi = gray[y:y + h, x:x + w]
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
cv2.rectangle(thresh_color,(x,y),(x+w,y+h),(0,255,0),2)
if (w*h>250*60): #change this for proper settings
cv2.imwrite('C:\\Users\\Bob\\Desktop\\Destination\\' + str(timestr)
+ '\\EXTRACTED\\ex_area1' + str(idx) + '.png',roi)
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