魔杖统计函数- Python
statistic()函数是Python Wand ImageMagick 库中的一个内置函数,用于将每个像素替换为来自相邻像素值的统计结果。宽度和高度定义了相邻像素的大小或孔径。
Syntax:
Parameters: This function accepts four parameters as mentioned above and defined below:
- stat: This parameter stores the type of statistic to calculate. Some of the available statistics are ‘undefined’, ‘gradient’, ‘maximum’, ‘mean’, ‘median’, ‘minimum’, ‘mode’, ‘nonpeak’, ‘root_mean_square’, ‘standard_deviation’.
- width: This parameter stores the size of neighboring pixels on the X-axis.
- height: This parameter stores the size of neighboring pixels on the Y-axis.
- channel: This parameter stores the available color channel.
Return Value: This function returns the Wand ImageMagick object.
原图:
示例 1:
Python3
statistic(stat, width, height, channel)
Python3
# Import library from Image
from wand.image import Image
# Import the image
with Image(filename ='../geeksforgeeks.png') as image:
# Clone the image in order to process
with image.clone() as statistic:
# Invoke statistic function with statistic as median, width as 20
# height as 10, channel as 'yellow'
statistic.statistic('median', 20, 10, 'yellow')
# Save the image
statistic.save(filename ='statistic1.jpg')
输出:
示例 2:
Python3
# Import libraries from the wand
from wand.image import Image
from wand.drawing import Drawing
from wand.color import Color
with Drawing() as draw:
# Set Stroke color the circle to black
draw.stroke_color = Color('black')
# Set Width of the circle to 2
draw.stroke_width = 1
# Set the fill color to 'White (# FFFFFF)'
draw.fill_color = Color('white')
# Invoke Circle function with center at 50, 50 and radius 25
draw.circle((200, 200), # Center point
(100, 100)) # Perimeter point
# Set the font style
draw.font = '../Helvetica.ttf'
# Set the font size
draw.font_size = 30
with Image(width = 400, height = 400, background = Color('# 45ff33')) as pic:
# Set the text and its location
draw.text(int(pic.width / 3), int(pic.height / 2), 'GeeksForGeeks !')
# Draw the picture
draw(pic)
# Invoke statistic function with statistic as root_mean_square, width as 20
# height as 10, channel as 'green'
pic.statistic('root_mean_square', 20, 10, 'green')
# Save the image
pic.save(filename ='statistic2.jpg')
输出: