image process: prepared for gaussian and median blur

ocv_corner_tracker.py

@@ -140,9 +140,12 @@ class CornerTracker:
 
 	@staticmethod
 	def image_process(_image: np.array):
-		result = cv2.cvtColor(_image, cv2.COLOR_BGR2GRAY)
-
-		return result
+		_result = cv2.cvtColor(_image, cv2.COLOR_BGR2GRAY)
+		'''
+		_result = cv2.GaussianBlur(_result, (9, 9), 0)
+		_result = cv2.medianBlur(_result, 3)
+		'''
+		return _result
 
 	def init_reference_frame(self, _image: np.array):
 		# Draw mask
@@ -382,7 +385,7 @@ if __name__ == '__main__':
 		cv2.putText(image_anno, "FPS : " + str(int(fps)), (20, image_anno.shape[0] - 20),
 					cv2.FONT_HERSHEY_SIMPLEX, 0.5, (50, 170, 50), 1)
 
-		cv2.imshow(f"Image Anno", image_anno)
+		cv2.imshow(f"Image Anno", cv2.medianBlur(image_anno, 3))
 
 		# Exit if ESC pressed
 		k = cv2.waitKey(key_wait) & 0xff
@@ -424,4 +427,3 @@ if __name__ == '__main__':
 			i += 1
 
 	plt.show()
-