Added more opencv image processing filters.

src/filters.py

@@ -28,10 +28,10 @@ class filter_average(filter):
         super().__init__(input_file, output_file, img)
 
     def apply(self):
-        kernel = np.ones((5, 5), np.float32)/25
+        kernel = np.ones((5, 5), np.float32) / 25
         self.img = cv.filter2D(self.img, -1, kernel)
         plt.imshow(self.img)
-        print("Average filter")
+        print("Average")
 
 
 class filter_blur(filter):
@@ -41,7 +41,7 @@ class filter_blur(filter):
     def apply(self):
         self.img = cv.blur(self.img, (5, 5))
         plt.imshow(self.img)
-        print("Blurring filter")
+        print("Normal blur")
 
 
 class filter_gaussian(filter):
@@ -51,4 +51,57 @@ class filter_gaussian(filter):
     def apply(self):
         self.img = cv.GaussianBlur(self.img, (5, 5), 0)
         plt.imshow(self.img)
-        print("Gaussian filter")
+        print("Gaussian blur")
+
+
+class filter_median(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        self.img = cv.medianBlur(self.img, 5)
+        plt.imshow(self.img)
+        print("Median blur")
+
+
+class filter_erode(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        kernel = np.ones((5, 5), np.uint8)
+        self.img = cv.erode(self.img, kernel, 1)
+        plt.imshow(self.img)
+        print("Erosion")
+
+
+class filter_dilate(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        kernel = np.ones((5, 5), np.uint8)
+        self.img = cv.dilate(self.img, kernel, 1)
+        plt.imshow(self.img)
+        print("Dilatation")
+
+
+class filter_opening(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        kernel = cv.getStructuringElement(cv.MORPH_RECT, (3, 3))
+        self.img = cv.morphologyEx(self.img, cv.MORPH_CLOSE, kernel)
+        plt.imshow(self.img)
+        print("Opening")
+
+class filter_closing(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        kernel = cv.getStructuringElement(cv.MORPH_RECT, (3, 3))
+        self.img = cv.morphologyEx(self.img, cv.MORPH_OPEN, kernel)
+        plt.imshow(self.img)
+        print("Closing")

src/main.py

@@ -64,6 +64,16 @@ class apply_filters:
             return flt.filter_blur
         elif filter_name == "gaussian":
             return flt.filter_gaussian
+        elif filter_name == "median":
+            return flt.filter_median
+        elif filter_name == "erode":
+            return flt.filter_erode
+        elif filter_name == "dilate":
+            return flt.filter_dilate
+        elif filter_name == "opening":
+            return flt.filter_opening
+        elif filter_name == "closing":
+            return flt.filter_closing
         else:
             raise ValueError("Invalid filter name")