hsv

Emulate Photoshop's “Color Overlay” using CSS filters?

由 …衆ロ難τιáo~ 提交于 2019-12-08 15:40:39
问题 I have an icon which I'd like to change the color of, using CSS. It is in a data-uri'd optimized SVG inlined in the CSS. Normally, this wasn't possible. That's why icon fonts were invented; their main advantage over SVG is being able to recieve color and text-shadow rules from CSS. Well, CSS filters are now capable of doing both things to arbitrary images, and they now work in all Blink, Webkit and Gecko browsers, and can be expected for future IE/Spartan. A text-shadow replacement is easy;

HorizontalScrollView with imageviews as a child and while scrolling the center of the image in the screen should play animation?

由 这一生的挚爱 提交于 2019-12-08 12:43:57
问题 I am new android platform app development. my problem is center lock the image without using gallery view and that image we play an animation.while scrolling animated image should be adjust with center of screen. Currently i am using HorizontalScrollView with linearlayout as child elment of HSV. linear layout having multiple images. Please give me advices how do acheive it.Thanks in advance. 回答1: Inherit the HorizontalScrollView and override/add the Methods EDITED My Complete Source public

Cycle R,G,B vales as HUE?

由 本小妞迷上赌 提交于 2019-12-08 07:30:55
问题 I am using SFML and it has a color function that takes values in RGB. example.. (255,0,0). I would like to be able to cycle these numbers though a loop so that the displayed colour cycles though the hue... So if I am using (76,204,63) the function will adjust those 3 numbers. So I need the function to intake rgb convert to HSV and then return rgb. Any ideas how I would go about this? the sfml code I wish to use is... _sprite.setColor(76,204,63); This will set the sprite to a colour... I ma

How to get HSV and LAB color space?

由 非 Y 不嫁゛ 提交于 2019-12-07 17:04:19
问题 I'm using OpenCV with Python. My code is: img_hsv = cv2.cvtColor(image,cv.CV_BGR2HSV) img_lab = cv2.cvtColor(image,cv.CV_BGR2Lab) When I access to a pixel value I'm getting values in RGB space, for example: img_hsv[x][y] = [255,255,255] How can I normalize HSV and LAB color space? HSV = 360º 100% 100% and LAB = 128 100 100 Edit1. Answering to Rick M.: Your solution is not correct because when I translate the values ​​of OpenCV like you said to HSV I get random colors. For example. Original

python - opencv - convert pixel from bgr to hsv

由 蓝咒 提交于 2019-12-07 07:32:54
问题 img = cv2.imread('example.jpg') img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # lower mask (0-10) lower_red = np.array([0, 50, 50]) upper_red = np.array([10, 255, 255] mask0 = cv2.inRange(img_hsv, lower_red, upper_red) # upper mask (170-180) lower_red = np.array([170, 50, 50]) upper_red = np.array([180, 255, 255]) mask1 = cv2.inRange(img_hsv, lower_red, upper_red) # join my masks mask = mask0 + mask1 height = mask.shape[0] width = mask.shape[1] # iterate over every pixel for i in range

Detect whether a pixel is red or not

由 ￡可爱￡侵袭症＋ 提交于 2019-12-06 15:00:50
问题 We can define the range of red color in HSV as below. I want to detect that whether a certain pixel is red or not? How can I do that in Python? I spend whole day, but unable to find solution. Please resolve my problem. I'm very new to Python. Code that I'm using is: img=cv2.imread("img.png") img_hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # lower mask (0-10) lower_red = np.array([0,50,50]) upper_red = np.array([10,255,255]) mask0 = cv2.inRange(img_hsv, lower_red, upper_red) # upper mask (170-180

Color rotation in HSV using scikit-image

由 醉酒当歌 提交于 2019-12-06 08:41:07
问题 The aim is to convert a pure red image into any hue of the color wheel. A monochrome image is first converted into a RGB red image, ex: then converted into HSV The hue component is modified by adding an angle value supposed to match the wheel color then the hsv image is back converted into the rgb color space. The problem is that only green or blue image can be obtained (no yellow for an angle~30° for example): The code performed in some ipython cells relies on scikit-image 0.10dev: from

calculate Euclidean distance of two image in hsv color space in matlab

由 若如初见. 提交于 2019-12-06 06:33:44
问题 i use the code below to calculate the Euclidean distance for two rgb images: Im1 = imread(filename1); Im1 = rgb2gray(Im1); hn1 = imhist(Im1)./numel(Im1); Im2 = imread(filename2); Im2 = rgb2gray(Im2); hn2 = imhist(Im2)./numel(Im2); f = norm(hn1-hn2); and it gives me the correct answer but now i want to use the code for two images in hsv color mode but it wont work on it cause all of the above code is in a 2d space while hsv is 1d is there any specific code for calculating Euclidean distance of

How to get HSV and LAB color space?

由 ぃ、小莉子 提交于 2019-12-05 23:17:58
I'm using OpenCV with Python. My code is: img_hsv = cv2.cvtColor(image,cv.CV_BGR2HSV) img_lab = cv2.cvtColor(image,cv.CV_BGR2Lab) When I access to a pixel value I'm getting values in RGB space, for example: img_hsv[x][y] = [255,255,255] How can I normalize HSV and LAB color space? HSV = 360º 100% 100% and LAB = 128 100 100 Edit1. Answering to Rick M.: Your solution is not correct because when I translate the values ​​of OpenCV like you said to HSV I get random colors. For example. Original image detection with the values of img_hsv : If I get those values and I reverse the order, I am getting

python - opencv - convert pixel from bgr to hsv

由 微笑、不失礼 提交于 2019-12-05 11:04:47
img = cv2.imread('example.jpg') img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # lower mask (0-10) lower_red = np.array([0, 50, 50]) upper_red = np.array([10, 255, 255] mask0 = cv2.inRange(img_hsv, lower_red, upper_red) # upper mask (170-180) lower_red = np.array([170, 50, 50]) upper_red = np.array([180, 255, 255]) mask1 = cv2.inRange(img_hsv, lower_red, upper_red) # join my masks mask = mask0 + mask1 height = mask.shape[0] width = mask.shape[1] # iterate over every pixel for i in range(height): for j in range(width): px = mask[i,j] print px # check if pixel is white or black if (px[2] >= 0
订阅 hsv