我有一個黑白圖像。我嘗試通過 消除噪音remove_small_objects。import cv2 as cvimport numpy as npfrom skimage import morphologyimg = np.array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 0, 255, 0, 0, 0, 0, 255, 255, 255], [255, 255, 255, 255, 0, 0, 0, 0, 255, 0, 0], [255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0], [255, 255, 0, 0, 0, 0, 0, 255, 0, 0, 0], [255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0], [255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0], [255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0], [255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0]])cleaned = morphology.remove_small_objects(img, min_size=10, connectivity=1)print(cleaned)while True: cv.imshow('Demo', cleaned.astype(np.uint8)) if cv.waitKey(1) & 0xFF == 27: breakcv.destroyAllWindows()然而，它并沒有像我預期的那樣工作。中間的白色像素 255 仍然存在。我做錯什么了嗎？謝謝
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TA貢獻1802條經(jīng)驗 獲得超10個贊
從文檔（強調(diào)我的）：
skimage.morphology.remove_small_objects(ar, min_size=64, connectivity=1, in_place=False)
刪除小于指定大小的對象。
期望 ar 是一個帶有標記對象的數(shù)組，并刪除小于 min_size 的對象。如果 ar 為 bool，則首先標記圖像。這導致 bool 和 0-and-1 數(shù)組的行為可能不同。
import numpy as np
from skimage import io, morphology
import matplotlib.pyplot as plt
img = np.array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 0, 255, 0, 0, 0, 0, 255, 255, 255],
[255, 255, 255, 255, 0, 0, 0, 0, 255, 0, 0],
[255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 0, 0, 0, 0, 0, 255, 0, 0, 0],
[255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0]])
arr = img > 0
cleaned = morphology.remove_small_objects(arr, min_size=2)
cleaned = morphology.remove_small_holes(cleaned, min_size=2)
fig, axs = plt.subplots(1, 2)
axs[0].imshow(img, cmap='gray')
axs[0].set_title('img')
axs[1].imshow(cleaned, cmap='gray')
axs[1].set_title('cleaned')
plt.show(fig)
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