我正在尝试改进代码以查找网球场线截距,以便可以找到法院不同象限的边界。
输入图像
输出图像
我首先通过找到图像中的白色像素,然后通过一些预处理(例如高斯模糊)应用Canny边缘检测来实现这一点。然后将canny edge输出进行扩展,以帮助准备好进行hough线检测。
然后获取输出的高音行,我使用了github用户ideamanman42的Bentley–Ottmann algorithm的python实现来查找高音行截距。
这似乎工作得很好,但是我正在努力调整系统以找到最后4个拦截点。如果有人可以给我建议以改善或调整此实施方式,甚至提出一些想法,以更好地解决法院边界问题,我将不胜感激。
# import the necessary packages
import numpy as np
import argparse
import cv2
import scipy.ndimage as ndi
import poly_point_isect as bot
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", help = "path to the image")
args = vars(ap.parse_args())
# load the image
image = cv2.imread(args["image"])
# define the list of boundaries
boundaries = [
([180, 180, 100], [255, 255, 255])
]
# loop over the boundaries
for (lower, upper) in boundaries:
# create NumPy arrays from the boundaries
lower = np.array(lower, dtype = "uint8")
upper = np.array(upper, dtype = "uint8")
# find the colors within the specified boundaries and apply
# the mask
mask = cv2.inRange(image, lower, upper)
output = cv2.bitwise_and(image, image, mask = mask)
# show the images
cv2.imshow("images", np.hstack([image, output]))
cv2.waitKey(0)
gray = cv2.cvtColor(output,cv2.COLOR_BGR2GRAY)
kernel_size = 5
blur_gray = cv2.GaussianBlur(gray,(kernel_size, kernel_size),0)
low_threshold = 10
high_threshold = 200
edges = cv2.Canny(gray, low_threshold, high_threshold)
dilated = cv2.dilate(edges, np.ones((2,2), dtype=np.uint8))
cv2.imshow('dilated.png', dilated)
cv2.waitKey(0)
rho = 1 # distance resolution in pixels of the Hough grid
theta = np.pi / 180 # angular resolution in radians of the Hough grid
threshold = 10 # minimum number of votes (intersections in Hough grid cell)
min_line_length = 40 # minimum number of pixels making up a line
max_line_gap = 5 # maximum gap in pixels between connectable line segments
line_image = np.copy(output) * 0 # creating a blank to draw lines on
# Run Hough on edge detected image
# Output "lines" is an array containing endpoints of detected line segments
lines = cv2.HoughLinesP(dilated, rho, theta, threshold, np.array([]), min_line_length, max_line_gap)
points = []
for line in lines:
for x1, y1, x2, y2 in line:
points.append(((x1 + 0.0, y1 + 0.0), (x2 + 0.0, y2 + 0.0)))
cv2.line(line_image, (x1, y1), (x2, y2), (255, 0, 0), 5)
cv2.imshow('houghlines.png', line_image)
cv2.waitKey(0)
lines_edges = cv2.addWeighted(output, 0.8, line_image, 1, 0)
print(lines_edges.shape)
intersections = bot.isect_segments(points)
print(intersections)
for idx, inter in enumerate(intersections):
a, b = inter
match = 0
for other_inter in intersections[idx:]:
c, d = other_inter
if abs(c-a) < 8 and abs(d-b) < 8:
match = 1
if other_inter in intersections:
intersections.remove(other_inter)
intersections[idx] = ((c+a)/2, (d+b)/2)
if match == 0:
intersections.remove(inter)
for inter in intersections:
a, b = inter
for i in range(6):
for j in range(6):
lines_edges[int(b) + i, int(a) + j] = [0, 0, 255]
# Show the result
cv2.imshow('line_intersections.png', lines_edges)
cv2.imwrite('line_intersections.png', lines_edges)
cv2.waitKey(0)
答案 0 :(得分:0)
这是我的解决方案,使用了不同的方法。我使用哈里斯拐角检测器来检测拐角。只是匆忙地调整了参数,请随时使用它们。 Here是OpenCV的教程。
我使用OpenCV Wrapper library获得一些更简单的OpenCV代码。如果您不想要它,应该很容易翻译。
<layout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto">
<FrameLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:fitsSystemWindows="true">
<com.orange.es.orangetv.views.drawer.CustomDrawer
android:id="@+id/navigation_drawer"
android:layout_width="match_parent"
android:layout_height="match_parent">
<RelativeLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:orientation="vertical">
<android.support.design.widget.CoordinatorLayout
android:id="@+id/coordinator"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:layout_above="@id/cast_mini_controller"
android:background="@color/base_blue">
<com.orange.es.orangetv.views.CustomAppBarLayout
android:id="@+id/app_bar_layout"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@color/base_gray">
<android.support.design.widget.CollapsingToolbarLayout
android:id="@+id/collapsing_toolbar"
android:layout_width="match_parent"
android:layout_height="match_parent"
app:layout_scrollFlags="scroll"
app:toolbarId="@+id/toolbar">
<fragment
android:id="@+id/slideshow_fragment"
class="com.orange.es.orangetv.screens.fragments.slideshow.SlideshowFragment"
android:layout_width="match_parent"
android:layout_height="match_parent" />
<android.support.v7.widget.Toolbar
android:id="@+id/toolbar"
android:layout_width="match_parent"
android:layout_height="@dimen/topmenu_height"
android:background="@color/color_transparent"
app:layout_collapseMode="pin" />
</android.support.design.widget.CollapsingToolbarLayout>
</com.orange.es.orangetv.views.CustomAppBarLayout>
<fragment
android:id="@+id/flatten_items_fragment"
class="com.orange.es.orangetv.screens.fragments.section_rows.FlattenRowsFragment"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:layout_marginTop="@dimen/column_bottom_edge_height"
app:layout_behavior="@string/appbar_scrolling_view_behavior" />
<include layout="@layout/loader_view" />
</android.support.design.widget.CoordinatorLayout>
<android.support.v7.widget.Toolbar
android:id="@+id/toolbar_topmenu"
android:layout_width="match_parent"
android:layout_height="@dimen/topmenu_height"
android:background="@color/color_transparent"
android:paddingLeft="@dimen/toolbar_padding"
android:paddingRight="@dimen/toolbar_padding"
android:theme="@style/ToolbarOverlay"
app:contentInsetEnd="@dimen/toolbar_padding"
app:contentInsetLeft="@dimen/toolbar_padding"
app:contentInsetRight="@dimen/toolbar_padding"
app:contentInsetStart="@dimen/toolbar_padding"
app:elevation="@dimen/toolbar_elevation">
<include
layout="@layout/menu_layout"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_alignParentStart="true"
android:layout_alignParentLeft="true"
android:layout_alignParentTop="true" />
</android.support.v7.widget.Toolbar>
<fragment
android:id="@+id/cast_mini_controller"
class="com.aspiro.tv.MoonWalker_library.video.cast.CustomMiniControllerFragment"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:layout_alignParentBottom="true"
android:visibility="gone"
app:castShowImageThumbnail="true" />
</RelativeLayout>
<fragment
android:id="@+id/drawer_fragment"
class="com.orange.es.orangetv.screens.fragments.drawer.DrawerFragment"
android:layout_width="wrap_content"
android:layout_height="match_parent"
android:layout_gravity="start"
android:background="@color/colorWhite" />
</com.orange.es.orangetv.views.drawer.CustomDrawer>
<include layout="@layout/layout_container" />
</FrameLayout>
</layout>
结果:
披露:我是OpenCV Wrapper的作者。