二維陣列爪子壓力測量的峰值檢測演算法
為了將狗爪子的壓力測量分割成不同的解剖區域，本地可以使用最大過濾器。
局部最大過濾器實作
<code class="python">import numpy as np
from scipy.ndimage.filters import maximum_filter
from scipy.ndimage.morphology import generate_binary_structure, binary_erosion
from scipy.ndimage.measurements import label
def detect_peaks(image):
"""
Utilizes a local maximum filter to identify and return a mask of peak locations.
"""
# Defines an 8-connected neighborhood
neighborhood = generate_binary_structure(2,2)
# Detects local maxima
local_max = maximum_filter(image, footprint=neighborhood)==image
# Creates a mask of the background
background = (image==0)
# Erodes the background to isolate peaks
eroded_background = binary_erosion(background, structure=neighborhood, border_value=1)
# Generates the final mask by removing background from the local_max mask
detected_peaks = local_max ^ eroded_background
return detected_peaks</code>使用和後處理
注意：
實施增強的注意事項：
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