关于LBP算法的skimage.feature.local_binary_pattern（）函数解析

最新推荐文章于 2024-06-01 07:45:00 发布

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最新推荐文章于 2024-06-01 07:45:00 发布

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分类专栏：图像处理

本文链接：https://blog.youkuaiyun.com/m0_38027013/article/details/90487243

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博客介绍了LBP算法的参考文章，给出示例代码。详细说明了skimage.feature.local_binary_pattern函数原型，包括参数image（灰度图像像素矩阵）、P（中心像素周围像素点个数）、R（选取区域半径）、method（多种模式）及各模式特点。

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LBP算法参考文章：
https://blog.youkuaiyun.com/heli200482128/article/details/79204008

示例代码：

from __future__ import division

import skimage.io
import skimage.feature
import skimage.color
import skimage.transform
import skimage.util
import skimage.segmentation
import numpy

import matplotlib.pyplot as plt

from skimage.segmentation import felzenszwalb
from skimage.data import coffee

img = coffee()

for colour_channel in (0, 1, 2):
    img[:, :, colour_channel] = skimage.feature.local_binary_pattern(
        img[:, :, colour_channel], 8,1.0,method='var')

plt.imshow(img)
plt.show()

结果：
在这里插入图片描述

该函数的原型为：
skimage.feature.local_binary_pattern(image, P, R, method=‘default’)
image：灰度图像的像素矩阵
P：选取中心像素周围的像素点的个数
R：选取的区域的半径
method : {‘default’, ‘ror’, ‘uniform’, ‘var’}

Method to determine the pattern.

‘default’: original local binary pattern which is gray scale but notrotation invariant.

‘ror’: extension of default implementation which is gray scale androtation invariant.

‘uniform’: improved rotation invariance with uniform patterns andfiner quantization of the angular space which is gray scale and
rotation invariant.

‘nri_uniform’: non rotation-invariant uniform patterns variantwhich is only gray scale invariant [R177].

‘var’: rotation invariant variance measures of the contrast of localimage texture which is rotation but not gray scale invariant.

参考文章：
https://scikit-image.org/docs/dev/api/skimage.feature.html#skimage.feature.local_binary_pattern