diff --git a/lumen_profiler.py b/lumen_profiler.py
index 2e6bfb5..36f583a 100644
--- a/lumen_profiler.py
+++ b/lumen_profiler.py
@@ -7,7 +7,7 @@
 
 class LumenProfiler:
     def __init__(self):
-        self.area_ratio = 0.08
+        pass
 
     def load_movie(self, filename):
         self.frames = []
@@ -21,11 +21,11 @@
         self.frame_count = len(self.frames)
         cap.release()
 
-    def profiling(self, step=1):
+    def profiling(self, area_ratio, step=1):
         self.results = []
         for idx in range(0, len(self.frames), step):
             frame = self.frames[idx]
-            mask = self.lumen_mask(frame)
+            mask = self.lumen_mask(frame, area_ratio)
             circle_level, contour = self.calc_circle_level(mask)
             result = {
                 "idx": idx,
@@ -33,13 +33,14 @@
                 "mask": mask,
                 "circle_level": circle_level,
                 "contour": contour,
-                "ratio": self.area_ratio,
+                "ratio": area_ratio,
             }
             self.results.append(result)
 
     def draw(self, rid):
         disp = self.results[rid]["frame"].copy()
         etime = self.results[rid]["idx"] * 1.0 / 30.0
+        ratio = self.results[rid]["ratio"]
         cv2.putText(
             disp,
             "frame%4d  time %.3fs" % (self.results[rid]["idx"], etime),
@@ -51,7 +52,7 @@
         )
         cv2.putText(
             disp,
-            "area ratio=%.1f %%" % (self.area_ratio * 100),
+            "area ratio=%.1f %%" % (ratio * 100),
             (10, 50),
             cv2.FONT_HERSHEY_TRIPLEX,
             0.7,
@@ -72,7 +73,7 @@
 
         return disp
 
-    def lumen_mask(self, frame, sigma=5.0, min_area=200):
+    def lumen_mask(self, frame, area_ratio, sigma=5.0, min_area=200):
         # 輝度画像生成
         hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
         val_img = hsv[:, :, 2]
@@ -83,7 +84,7 @@
         sum = 0
         for i in range(0, 256):
             sum += hist[i]
-            if thres < 0 and sum > (val_img.size * self.area_ratio):
+            if thres < 0 and sum > (val_img.size * area_ratio):
                 thres = i
                 break
         # 気道のマスク生成
@@ -169,7 +170,7 @@
     # 解析
     lp = LumenProfiler()
     lp.load_movie(movie_file)
-    lp.profiling(2)
+    lp.profiling(0.08, 2)
     lp.csv_output("output/analysis.csv")
 
     # 表示