HSV色彩空间中像素色相通道绝对差值计算异常问题求助
HSV色彩空间中像素色相通道绝对差值计算异常问题求助
前言/问题说明
我正在尝试对比HSV色彩空间中两个像素的数值,并计算它们的绝对差值。目前代码对S和V通道的计算看起来都没问题,但H通道大部分时候结果正常,偶尔会出现完全不合理的数值。
我的具体处理流程是:
- 读取目标视频文件
- 在第一帧中通过模板匹配找到特定位置,保存该位置的HSV像素值
- 逐帧遍历视频,捕获同一位置的HSV像素值
- 计算前后两个像素各通道的差值
我的猜想
我感觉自己对HSV色彩空间的某些特性理解有误。之前查资料后,针对H通道(范围0-360)和V通道(范围0-255),我用了取最小值的方式来计算合理差值——比如H通道取min(abs(p1-p2), 360-abs(p1-p2)),V通道做类似处理,但H通道还是偶尔会出现错误结果。
我的代码
import cv2 as cv import numpy as np import pyautogui import time tilling_target = cv.imread("tilling_target7.png") tilling_target = np.array(tilling_target) cap = cv.VideoCapture("video.mp4") # Move to starting Lure Position ret, frame = cap.read() lure_location = cv.matchTemplate( frame, tilling_target, cv.TM_CCOEFF_NORMED ) # 注:此处原代码中`location`变量未定义,推测应为`lure_location`,属于笔误 loc_arr = np.array(location) min_val, max_val, min_loc, max_loc = cv.minMaxLoc(loc_arr) print(max_loc) frameHSV = cv.cvtColor(frame, cv.COLOR_BGR2HSV) urpixel = frameHSV[max_loc[1]+20, max_loc[0]-40] start_time = time.time() # Watch the lure and changes while True: ret, frame = cap.read() frameHSV = cv.cvtColor(frame, cv.COLOR_BGR2HSV) pixel = frameHSV[max_loc[1]+20, max_loc[0]-40] print("urpixel:",urpixel) print("pixel:",pixel) print("time:",time.time()-start_time) dif_to_urpixel = [min(abs(pixel[0]-urpixel[0]), 360-abs((pixel[0]-urpixel[0]))), abs(pixel[1]-urpixel[1]), min(abs(pixel[2]-urpixel[2]), 255-abs(pixel[2]-urpixel[2]))] print("differenz:",dif_to_urpixel) print("sum diff:", sum(dif_to_urpixel))
输出片段
urpixel: [100 114 65] pixel: [101 138 63] time: 3.048245668411255 differenz: [1, 24, 1] --> working as intended sum diff: 26 urpixel: [100 114 65] pixel: [ 99 124 74] time: 3.2529683113098145 differenz: [105, 10, 9] --> 100-99 should result in 1 and not 105?? sum diff: 124 urpixel: [100 114 65] pixel: [101 143 57] time: 6.2827301025390625 differenz: [1, 29, 7] --> working as intended sum diff: 37 urpixel: [100 114 65] pixel: [ 99 134 57] time: 5.828529596328735 differenz: [105, 20, 7] --> Again resulting in 105 instead of 1 sum diff: 132
备注:内容来源于stack exchange,提问作者Manni Manno
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