diff --git a/图像识别CV/pythoncv_learn/detection_chessboard_v4.py b/图像识别CV/pythoncv_learn/detection_chessboard_v4.py
index 5d9405d..ede7d39 100644
--- a/图像识别CV/pythoncv_learn/detection_chessboard_v4.py
+++ b/图像识别CV/pythoncv_learn/detection_chessboard_v4.py
@@ -34,6 +34,11 @@ else:
 
 image = img.copy()
 
+# 图片锐化
+kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]], np.float32)
+img = cv2.filter2D(img, -1, kernel=kernel)
+cv2.imshow('sharpening', img)
+
 # 边缘保护滤波
 img = cv2.edgePreservingFilter(img)
 cv2.imshow('edgePreservingFilter', img)
@@ -129,7 +134,7 @@ cv2.imshow('houghLinesImage', houghLinesImage)
 
 # Hough变换
 thresh_min = min(dst.shape)
-lines = cv2.HoughLinesP(dst, 1, np.pi / 180, 200, minLineLength=int(dst.shape[0] * 0.47), maxLineGap=int(thresh_min * 0.5))
+lines = cv2.HoughLinesP(dst, 1, np.pi / 180, 200, minLineLength=int(dst.shape[0] * 0.45), maxLineGap=int(thresh_min * 0.5))
 
 houghLinesImage = img.copy()
 for line in lines:
@@ -139,8 +144,8 @@ cv2.imshow('houghLinesImage', houghLinesImage)
 
 
 if lines is not None:
-    lines_vertical = filter(lambda line: True if abs(line[0][1] - line[0][3]) > length * 0.5 else False, lines)
-    lines_horizontal  = filter(lambda line: True if abs(line[0][0] - line[0][2]) > height * 0.5 else False, lines)
+    lines_vertical = filter(lambda line: True if abs(line[0][1] - line[0][3]) > length * 0.2 else False, lines)
+    lines_horizontal  = filter(lambda line: True if abs(line[0][0] - line[0][2]) > height * 0.2 else False, lines)
 
     # lines_vertical = filter(isVerticalLine, lines_vertical)
     # lines_horizontal = filter(isHorizontalLine, lines_horizontal)