76 lines
2.1 KiB
Python
76 lines
2.1 KiB
Python
import matplotlib
|
|
matplotlib.use('Agg') # 使用非 GUI 后端
|
|
|
|
import cv2
|
|
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
|
|
def analyze_surface_roughness(image_path):
|
|
# 读取图像
|
|
img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
|
|
if img is None:
|
|
raise FileNotFoundError(f"无法加载图像: {image_path}")
|
|
|
|
# 预处理
|
|
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
|
|
img = clahe.apply(img)
|
|
img = cv2.medianBlur(img, 5)
|
|
|
|
# FFT
|
|
f = np.fft.fft2(img)
|
|
fshift = np.fft.fftshift(f)
|
|
magnitude_spectrum = 20 * np.log(np.abs(fshift) + 1e-9)
|
|
|
|
# 动态低频区域
|
|
rows, cols = img.shape
|
|
crow, ccol = rows // 2, cols // 2
|
|
radius = min(rows, cols) // 20
|
|
mask = np.ones((rows, cols), np.uint8)
|
|
cv2.circle(mask, (ccol, crow), radius, 0, thickness=-1)
|
|
|
|
# 计算能量占比
|
|
total_energy = np.sum(magnitude_spectrum)
|
|
high_freq_energy = np.sum(magnitude_spectrum * mask)
|
|
ratio = high_freq_energy / total_energy
|
|
|
|
# 可视化并保存
|
|
plt.figure(figsize=(12, 6))
|
|
|
|
plt.subplot(1, 3, 1)
|
|
plt.imshow(img, cmap='gray')
|
|
plt.title('预处理后图像')
|
|
plt.axis('off')
|
|
|
|
plt.subplot(1, 3, 2)
|
|
plt.imshow(magnitude_spectrum, cmap='gray')
|
|
plt.title('频谱图（中心为低频）')
|
|
plt.axis('off')
|
|
|
|
overlay = magnitude_spectrum.copy()
|
|
if len(overlay.shape) == 2:
|
|
overlay = np.stack([overlay]*3, axis=-1)
|
|
cv2.circle(overlay, (ccol, crow), radius, (1, 0, 0), 2)
|
|
plt.subplot(1, 3, 3)
|
|
plt.imshow(overlay)
|
|
plt.title(f'低频区域（红圈内）\n高频能量占比: {ratio:.3f}')
|
|
plt.axis('off')
|
|
|
|
plt.tight_layout()
|
|
plt.savefig("fft_analysis_result.png", dpi=150, bbox_inches='tight')
|
|
plt.close() # 释放内存
|
|
|
|
# 输出结果
|
|
print(f"✅ 图像尺寸: {cols}x{rows}")
|
|
print(f"📊 高频能量占比: {ratio:.3f}")
|
|
if ratio < 0.8:
|
|
print("🟢 评价: 表面较光滑")
|
|
elif ratio < 0.95:
|
|
print("🟡 评价: 表面中等粗糙")
|
|
else:
|
|
print("🔴 评价: 表面非常粗糙")
|
|
|
|
return ratio
|
|
|
|
# 运行
|
|
if __name__ == "__main__":
|
|
analyze_surface_roughness("1.jpg") |