从进程中排除特定维度的图像（OpenCV、Python）

使用下一个代码，我可以拍摄一张图像，并将其分离成包含感兴趣区域的各种较小的图像

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：

已加载图像

输出

代码也给出了一些我不想要的次要图像（比如工件）。所有这些图像都低于某些特定的维度

我的问题是：要删除这些图片，我必须在上面的代码中添加什么？删除下一个维度下的图像：250（宽）X 60（高）像素

多谢各位

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提示：使用此代码检测区域：

首先不要写它们。只写60*250以上的图像

   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)