mt-sumikko's Stars
namiki97/Notion2GoogleToDo
Sample programs that interoperate between Notion and Google ToDo (Google Tasks).
otoyo/astro-notion-blog
🚀 Begin building your very own Notion Blog with Astro.
samuelkraft/notion-blog-nextjs
Next.js example blog powered by Notion Public API
TinyKitten/ReceiptGenerator
Inconvenience market receipt generator.
scikit-image/scikit-image
Image processing in Python
sami14996/Live_video_recoloring
Color enhancement and feature extraction are used in many application areas. Color Vision Deficiency is one of the biggest problems across the globe there are several types of CVD’s with difference in their parameters based on the conditions of the patients such as monochromacy, dichromacy, trichromacy as parental disorders within which there exists certain other subtypes based on the functionality of certain proportions of people with based upon spectrum analysis and wavelength adjustment for each affected patients depending upon the colors which hit the wrong rods and cones the feature extraction used will replace the particular color from the spectral data and replace it with the correct color after simulation and processing. It uses OpenCV software based on the system specification and processing it will thereby improve the efficiency and functioning of the simulation of the images and the videos. The feature extraction used there by helps in studying the different types of CVD’s and based upon the type of diseases it performs RGB to LMS color bifurcation and helps in change of scale of color processing so that the particularly affected patients featured upon the deficiency in the colors can thereby after processing and simulation of the different images and the video can see perfect shade upon the re colored frames of the images and other modes of files.
rperera12/Split-Images-into-multiple-channels-by-K-Means
By K-Means Clustering using OpenCV-Python an image can be broken up or split into multiple channels (user defined), where each channel represents a single color group extracted from the image. The main purpose of this repository is to create a mask of 13 channels from already segmented images. However, it can be used for other applications such as simple color extraction.
bhaveshjaggi/PestDetection
PEST DETECTION USING IMAGE PROCESSING e The principal idea which empowered us to work on the project PEST DETECTION USING IMAGE PROCESSING is to ensure improved and better farming techniques for farmers. Our Solution: The techniques of image analysis are extensively applied to agricultural science, and it provides maximum protection to crops and also much less use of pesticides which can ultimately lead to better crop management and production. The following softwares are required for the project: OpenCV with C++/Python : It is a library which is designed for computational efficiency with a strong focus on real time applications. Pest Detection System Following are the image processing steps which are used in the proposed system. >Color Image to Gray Image Conversion Therefore, images are converted into gray scale images so that they can be handled easily and require less storage. The following equation shows how images are converted into gray scale images. I(x,y)=0.2989*B +0.5870*G +0.1140*B > Image Filtering The PSNR value is calculated for both the average and median resulting images .The average filter provides better result as compared to the median filter. So this paper uses average filter for further processing. > Image Segmentation To detect the pests from the images, the image background is calculated using morphological operators which is most critical after this image is subtracted from the original image. So the resulting image will only have the objects with pixel values 1 and background pixel values 0. >Noise Removal Noise contains dew drops, dust and other visible parts of leaves. As only the object of interest was to be visible on the images,so the aim was to remove the noise to get better and effective results. The Erosion algorithm has been used to remove isolated noisy pixels and to smoothen object boundaries . After noise removal,the next goal was to enhance the detected pests after segmentation which was performed by using the dilation algorithm. >Feature Extraction Different properties of the images are calculated on the basis of those attributes using which image is classified. For image properties, gray level co-occurrence matrix and regional properties of the images are calculated. These properties are used to train the support vector machine to classify images. >Counting of the pests on the leaves is the main purpose, so that it can give an idea of how much pests are there on a leaf.It uses Moore neighborhood tracing algorithm and Jacob's stopping criterion Feasibility: The present framework of pest detection is quite tedious and laborious for the farmers as they have to carry out their acre-acres surveys themselves and it requires a lot of vigorous efforts to achieve the same.Image analysis provides a realistic opportunity for the automation of insect pest detection.Through this system, crop technicians can easily count the pests from the collected specimens, and right pests’ management can be applied to increase both the quantity and quality of production. Using the automated system, crop technicians can make the monitoring process easier. So in order to bring enhancements in the system,we came up with more productive and well organised system with our idea .Due to this automaton applied,lucrativeness increases and labour is reduced.
santoshsinghmehta/dominant_color_case_study
In this case study we find out the Most Dominant Color in an image.Dominant Color Extraction from a given set of images using K-Means
RawDuck/Image_feature_extraction
Research about features extraction from an image. You'll find here features based on shape, color, grayscale and others.
AhmadMoussa/Neural-Color-Spaces-Generation-and-Extraction-of-Color-Palettes-with-Adversarial-VAEs
Variational Autoencoder that can generate color palettes but also extract them from Images
pulkit-yadav129/Dominant-Color-Extraction
Extracting K number of dominant color from an image and re-colorizing it using those K colors.
mhalhamdan/color_extraction
Extracting color palette from an image using PIL, and clustering algorithms using sklearn.
cachedEntropy/Cat-Eye-Extraction-and-Classification
Extracting Eyes from Cat Images and Classification by Color
DitoHI/ColorShapeExtraction
Get Color and Shape Feature from Image with Open CV & Apache Math (Deprecated)
Danny-F/color_extraction
Extract colors from an image using dynamic clustering.
liht1996/colormap-extraction
An implementation of Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations
MayurSatav/ImageToColors
ImageToColors is a Image color clustering library for extracting N dominant colors from image and provide list of extracted colors in HEX format.The prime purpose of this library is to provide quick colors extraction. It has ExtractColors() function which deals with clustering it also operate image according to their sizes for fast and secure clustering. It also provides HEXtoRGB() conversion function.For Graphical analysis ImageToColors gives you ClusterAnalaysis() using this function one can analyze color values along with each color percentage present in given image
marekhrabe/color-extractor
Experiment with color extraction from image via WebWorker. MIT licensed
ishikajain1799/Color-Extraction-From-Image
This repo shows how to segment an image in different parts using kmeans
iqbaladinur/color-extractor
Biancoir is website that provide color extraction from an image with quantization algorithm.
lokesh/color-thief
Grab the color palette from an image using just Javascript. Works in the browser and in Node.
profnote/ColorHarmony
Color Scheme Analysis of Popular Illustrations
traumverloren/bpm_necklace
a watchos project using ble + healthkit to connect to arduino LED necklace
raphaelameaume/fragment
[alpha] A web development environment for creative coding
microsoft/fluentui-emoji
A collection of familiar, friendly, and modern emoji from Microsoft
GordonLesti/dynamic-time-warping
Dynamic time warping for JavaScript
daisyworld/settings
gecko655/proofreading-tool
GUIで動作する文書校正ツール GUI tool for textlinting.
microsoft/fluentui-system-icons
Fluent System Icons are a collection of familiar, friendly and modern icons from Microsoft.