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eastmountyxz · web-flow · commit 4d2fb5f8639c · 2020-12-22T23:34:35.000+08:00
diff --git a/blog33-Special-effects/blog33_09_sb.py b/blog33-Special-effects/blog33_09_sb.py
@@ -0,0 +1,74 @@
+#coding:utf-8
+#By:Eastmount CSDN 2020-12-22
+#该效果有点丑，读者可以设置透明度进一步优化，可能效果会好看些。
+import cv2
+import math
+import numpy as np
+
+#读取原始图像
+img = cv2.imread('nv.png')
+
+#获取图像行和列
+rows, cols = img.shape[:2]
+
+#新建目标图像
+dst = np.zeros((rows, cols, 3), dtype="uint8")
+
+#定义水波特效参数
+wavelength = 20
+amplitude = 30
+phase = math.pi / 4
+
+#获取中心点
+centreX = 0.5
+centreY = 0.5
+radius = min(rows, cols) / 2
+
+#设置水波覆盖面积
+icentreX = cols*centreX
+icentreY = rows*centreY
+    
+#图像水波特效
+for i in range(rows):
+    for j in range(cols):
+        dx = j - icentreX
+        dy = i - icentreY
+        distance = dx*dx + dy*dy
+        
+        if distance>radius*radius:
+            x = j
+            y = i
+        else:
+            #计算水波区域
+            distance = math.sqrt(distance)
+            
+            amount = amplitude * math.sin(distance / wavelength * 2*math.pi - phase)
+            amount = amount *  (radius-distance) / radius
+            amount = amount * wavelength / (distance+0.0001)
+            x = j + dx * amount
+            y = i + dy * amount
+
+        #边界判断
+        if x<0:
+            x = 0
+        if x>=cols-1:
+            x = cols - 2
+        if y<0:
+            y = 0
+        if y>=rows-1:
+            y = rows - 2
+
+        p = x - int(x)
+        q = y - int(y)
+        
+        #图像水波赋值
+        dst[i, j, :] = (1-p)*(1-q)*img[int(y),int(x),:] + p*(1-q)*img[int(y),int(x),:]
+        + (1-p)*q*img[int(y),int(x),:] + p*q*img[int(y),int(x),:]
+        
+#显示图像
+cv2.imshow('src', img)
+cv2.imshow('dst', dst)
+
+cv2.waitKey()
+cv2.destroyAllWindows()
+
