import numpy as np
from PIL import Image

class VisualProcessingComponent:
    def __init__(self):
        self.size = (1024, 768)  # Example default image size
        self.image_data = None
        self.processors = [
            ('Grayscale', self.convert_to_grayscale),
            ('Blur', self.apply_blur),
            ('Edge Detection', self.detect_edges),
            ('Resize', self.resize_image)
        ]

    def load_image(self, file_path):
        """Load an image from a file path."""
        with Image.open(file_path) as img:
            self.image_data = np.array(img)

    def convert_to_grayscale(self):
        """Convert the current image to grayscale."""
        if self.image_data is None:
            print("No image data available.")
            return
        self.image_data = cv2.cvtColor(self.image_data, cv2.COLOR_RGB2GRAY)
        self.update_image()

    def apply_blur(self):
        """Apply Gaussian blur to the current image."""
        if self.image_data is None:
            print("No image data available.")
            return
        blurred_image = cv2.GaussianBlur(self.image_data, (5, 5), 0)
        self.image_data = blurred_image
        self.update_image()

    def detect_edges(self):
        """Detect edges in the current image."""
        if self.image_data is None:
            print("No image data available.")
            return
        edged_image = cv2.Canny(self.image_data, 100, 200)
        self.image_data = edged_image
        self.update_image()

    def resize_image(self, new_size=(512, 384)):
        """Resize the current image."""
        if self.image_data is None:
            print("No image data available.")
            return
        resized_image = cv2.resize(self.image_data, new_size)
        self.image_data = resized_image
        self.update_image()

    def update_image(self):
        """Update the visual representation of the processed image."""
        # This function would be responsible for updating a GUI or rendering the image in another way.
        print("Image updated.")

    def process_image(self, operations):
        """Process the image according to the specified operations."""
        if self.image_data is None:
            print("No image data available.")
            return
        for operation in operations:
            if operation[0] in [proc[0] for proc in self.processors]:
                getattr(self, operation[1])()

    def save_image(self, file_path):
        """Save the current processed image to a file."""
        if self.image_data is None:
            print("No image data available.")
            return
        im = Image.fromarray(np.uint8(self.image_data))
        im.save(file_path)

# Example usage
visual_processor = VisualProcessingComponent()
visual_processor.load_image('example.jpg')
operations = [('Grayscale', 'convert_to_grayscale'), ('Edge Detection', 'detect_edges')]
visual_processor.process_image(operations)
visual_processor.save_image('output.jpg')