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eastmountyxz · web-flow · commit 7cbe247c13c5 · 2019-10-18T00:23:42.000+08:00
diff --git a/blog25-lvjing/blog25-image02.py b/blog25-lvjing/blog25-image02.py
@@ -0,0 +1,32 @@
+#coding:utf-8
+import cv2
+import numpy as np
+
+#读取原始图像
+img = cv2.imread('scenery.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")
+
+#图像怀旧特效
+for i in range(rows):
+    for j in range(cols):
+        B = 0.272*img[i,j][2] + 0.534*img[i,j][1] + 0.131*img[i,j][0]
+        G = 0.349*img[i,j][2] + 0.686*img[i,j][1] + 0.168*img[i,j][0]
+        R = 0.393*img[i,j][2] + 0.769*img[i,j][1] + 0.189*img[i,j][0]
+        if B>255:
+            B = 255
+        if G>255:
+            G = 255
+        if R>255:
+            R = 255
+        dst[i,j] = np.uint8((B, G, R))
+        
+#显示图像
+cv2.imshow('src', img)
+cv2.imshow('dst', dst)
+cv2.waitKey()
+cv2.destroyAllWindows()
diff --git a/blog25-lvjing/blog25-image03.py b/blog25-lvjing/blog25-image03.py
@@ -0,0 +1,52 @@
+#coding:utf-8
+import cv2
+import math
+import numpy as np
+
+#读取原始图像
+img = cv2.imread('scenery.png')
+
+#获取图像行和列
+rows, cols = img.shape[:2]
+
+#设置中心点
+centerX = rows / 2
+centerY = cols / 2
+print centerX, centerY
+radius = min(centerX, centerY)
+print radius
+
+#设置光照强度
+strength = 200
+
+#新建目标图像
+dst = np.zeros((rows, cols, 3), dtype="uint8")
+
+#图像光照特效
+for i in range(rows):
+    for j in range(cols):
+        #计算当前点到光照中心距离(平面坐标系中两点之间的距离)
+        distance = math.pow((centerY-j), 2) + math.pow((centerX-i), 2)
+        #获取原始图像
+        B =  img[i,j][0]
+        G =  img[i,j][1]
+        R = img[i,j][2]
+        if (distance < radius * radius):
+            #按照距离大小计算增强的光照值
+            result = (int)(strength*( 1.0 - math.sqrt(distance) / radius ))
+            B = img[i,j][0] + result
+            G = img[i,j][1] + result
+            R = img[i,j][2] + result
+            #判断边界 防止越界
+            B = min(255, max(0, B))
+            G = min(255, max(0, G))
+            R = min(255, max(0, R))
+            dst[i,j] = np.uint8((B, G, R))
+        else:
+            dst[i,j] = np.uint8((B, G, R))
+        
+#显示图像
+cv2.imshow('src', img)
+cv2.imshow('dst', dst)
+cv2.waitKey()
+cv2.destroyAllWindows()
diff --git a/blog25-lvjing/blog25-image04.py b/blog25-lvjing/blog25-image04.py
@@ -0,0 +1,30 @@
+#coding:utf-8
+import cv2
+import math
+import numpy as np
+
+#读取原始图像
+img = cv2.imread('scenery.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")
+
+#图像流年特效
+for i in range(rows):
+    for j in range(cols):
+        #B通道的数值开平方乘以参数12
+        B = math.sqrt(img[i,j][0]) * 12
+        G =  img[i,j][1]
+        R =  img[i,j][2]
+        if B>255:
+            B = 255
+        dst[i,j] = np.uint8((B, G, R))
+        
+#显示图像
+cv2.imshow('src', img)
+cv2.imshow('dst', dst)
+cv2.waitKey()
+cv2.destroyAllWindows()
diff --git a/blog25-lvjing/blog25-image05.py b/blog25-lvjing/blog25-image05.py
@@ -0,0 +1,36 @@
+#coding:utf-8
+import cv2
+import numpy as np
+
+#获取滤镜颜色
+def getBGR(img, table, i, j):
+    #获取图像颜色
+    b, g, r = img[i][j]
+    #计算标准颜色表中颜色的位置坐标
+    x = int(g/4 + int(b/32) * 64)
+    y = int(r/4 + int((b%32) / 4) * 64)
+    #返回滤镜颜色表中对应的颜色
+    return lj_map[x][y]
+
+#读取原始图像
+img = cv2.imread('scenery.png')
+lj_map = cv2.imread('table.png')
+print img.shape
+
+#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")
+
+#循环设置滤镜颜色
+for i in range(rows):
+    for j in range(cols):
+        dst[i][j] = getBGR(img, lj_map, i, j)
+        
+#显示图像
+cv2.imshow('src', img)
+cv2.imshow('dst', dst)
+
+cv2.waitKey()
+cv2.destroyAllWindows()
diff --git a/blog25-lvjing/scenery.png b/blog25-lvjing/scenery.png
diff --git a/blog25-lvjing/table.png b/blog25-lvjing/table.png
