我如何始终如一地测量颗粒数量？

问题描述

我一直在尝试计算下面的样本图像中的维生素A颗粒（淡蓝色的点）的数量。

我已经尝试过使用OpenCV在Python中做到这一点，在这里我尝试获取浅蓝色颗粒的百分比和深蓝色（糖）晶体的百分比，将它们相互关联，然后生成一个粗糙的根据浅蓝色粒子占据的面积进行估算。对我而言，这种方法的问题在于它与样品的实际维生素含量不一致（该特定样品的维生素A含量为1％）...

关于我将如何处理此问题的任何建议？

这是我最初的方法：

import cv2
import numpy as np
import os
import statistics
from collections import OrderedDict

directory = 'Batches/Experiments/Sweetoil/DilutedWithWater/'
results = OrderedDict()

# Function to analyse single/multiple image(s)
def analyse_image(nFilename):
    # image file
    filename = nFilename

    # reads image as greyscale
    img = cv2.imread(filename,0)

    # binarizes image (black and white)
    _,img = cv2.threshold(img,180,255,cv2.THRESH_BINARY)

    # image processing operations
    kernel = np.ones((2,2),dtype=int)
    dilation = cv2.dilate(img,kernel,iterations=6)
    closing = cv2.morphologyEx(dilation,cv2.MORPH_CLOSE,kernel)
    erosion = cv2.erode(closing,iterations=7)

    # save image
    cv2.imwrite(filename + '_Fluorescent.png',erosion)
    cv2.imwrite('Fluorescent.png',erosion)

    # clear memory
    del dilation
    del closing
    del erosion
    del kernel
    del img

    # reads image as greyscale
    img = cv2.imread(filename,0)

    # binarize image
    _,115,cv2.THRESH_BINARY)

    # save image
    cv2.imwrite(filename + '_Sample.png',img)
    cv2.imwrite('Sample.png',img)

    del img

    # Loads saved images
    flr = cv2.imread('Fluorescent.png',0)
    sample = cv2.imread('Sample.png',0)

    # counts number of white pixels for both images
    ctr_flr = np.count_nonzero(flr >= 250)
    ctr_sample = np.count_nonzero(sample >= 250)

    # Calculates percentage
    percentage = (float(ctr_flr)/float(ctr_sample))*100
    print(filename," - ",percentage,"%")

    return percentage

def write_to_txt_file(content):
    text_file = open(directory + "Analysis.txt","w")
    text_file.write(content)
    text_file.close()
    pass

for entry in os.scandir(directory):
    if (entry.path.endswith(".jpg")
            or entry.path.endswith(".png")) and entry.is_file():
        results[entry.path] = analyse_image(entry.path)


# displays the number of pixels and percentage
batch_avg = statistics.mean(results.values())

analysis = "Analysis:\n"
for key,value in results.items():
    analysis += str(key) + "\n"


for key,value in results.items():
    analysis += str(value) + "\n"

print("\nBatch average: " + str(batch_avg) + "%")

result_for_txt = "Directory: \n" + directory + "\n\n" + str(analysis) + "\n" + "Batch average:\n" + str(batch_avg) + "%"
write_to_txt_file(result_for_txt)

解决方法

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