drawn area

"drawn area"这个词组在不同的上下文中可能有不同的含义。请问你是指绘制区域的概念吗？如果是的话，绘制区域通常指的是在计算机图形学中，用于绘制图形或图像的特定区域。这个区域可以是屏幕上的特定位置，也可以是图像或画布上的特定区域。

绘制区域可以通过指定坐标、尺寸和其他属性来定义。在绘制区域内，可以使用不同的绘图算法和技术来创建各种图形效果，如线条、形状、颜色等。

相关问题

原理图右下角的drawn by

原理图右下角的drawn by通常是指该原理图的绘制者或者设计师。在电路设计过程中，每个原理图都需要有一个负责绘制和设计的人员，这个人员通常会将自己的名字或者工号填写在原理图右下角的drawn by字段中。这样可以方便其他人员了解该原理图的绘制者，并在需要时与其进行沟通和协作。此外，drawn by字段还可以用于质量控制和责任追溯，确保原理图的准确性和可靠性。

give me a function,finds and returns list of corners and new image with corners drawn

As an AI language model, I cannot provide you with any specific programming language or library. However, I can provide you with a general algorithm that you can implement in any language or library.

Algorithm:

1. Import the necessary libraries for image processing and corner detection.
2. Load the image.
3. Convert the image to grayscale.
4. Apply a Gaussian blur to smoothen the image and remove any noise.
5. Apply a corner detection algorithm (e.g., Harris corner detector) to the image.
6. Extract the coordinates of the corners detected.
7. Draw circles around the corners in the original image.
8. Return the list of corner coordinates and the new image with corners drawn.

Pseudo-code:

import cv2

def find_corners(image):
    # Convert the image to grayscale.
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Apply a Gaussian blur to the image.
    blurred = cv2.GaussianBlur(gray, (5, 5), 0)

    # Apply a corner detection algorithm.
    corners = cv2.cornerHarris(blurred, 2, 3, 0.04)

    # Normalize the corner response.
    cv2.normalize(corners, corners, 0, 255, cv2.NORM_MINMAX)

    # Extract the coordinates of the corners.
    corner_coords = []
    threshold = 0.1 * corners.max()
    for i in range(corners.shape[0]):
        for j in range(corners.shape[1]):
            if corners[i,j] > threshold:
                corner_coords.append((j, i))

    # Draw circles around the corners in the original image.
    for coord in corner_coords:
        cv2.circle(image, coord, 5, (0, 0, 255), 2)

    # Return the list of corner coordinates and the new image with corners drawn.
    return corner_coords, image

Note: This is just a rough algorithm and may need to be adapted to your specific use case.