Giter Club home page Giter Club logo

anuhya101 / flower_identification_and_count Goto Github PK

View Code? Open in Web Editor NEW
2.0 1.0 0.0 2.07 MB

Flower counting technique is used to get an approximation of the count of number of flowers using MATLAB.Counting of the flowers is done by enhancement techniques following by the segmentation of our region of interest and then counting the resultant segmented elements.

MATLAB 100.00%
histogram histogram-equalization image-segmentation spatial-domain-filtering morphological-image-processing

flower_identification_and_count's Introduction

Flower_Identification_and_count

Flower counting technique is used to get an approximation of the count of number of flowers using MATLAB.Counting of the flowers is done by enhancement techniques following by the segmentation of our region of interest and then counting the resultant segmented elements.

Purpose

--> The main purpose of this algorithm is to Count the number of flowers which isdone by enhancement techniques following by the segmentation of our region of interest and then counting the resultant segmented elements. We are using a variety of sample set in various environment backgrounds, different size, shape, climate and colour, Due to different angles of photo capturing some of the region of interest might get blurred out, for which we have to implement a variety of image processing techniques to get a better approximation.

Improvements

--> In this new system I first used image enhancement technics like image acquisition and then converted the coloured image into grey level image along with histograms of the same image and then spatial domain enhancement techniques have been applied such as brightness adjusting operations( increase and decrease the brightness), histogram equalization, point processing technique, power law transform, image negative, thresholding, converting grey level image into binary, PSNR technique, Entropy, Edge detection and extracting the features and finally using feature analysis to count objects

Files included

-imagenhancement.m Used for spatial enhancement of flower images, point processing technique (power law transform), Thresholding along with histograms

-identification.m Includes RGB plan conversion, feature analysis, segmentation and count

-dataset Images from backyard and few are from farm

Analysis and Results

Screenshot 2022-03-12 at 10 46 29 PM

Screenshot 2022-03-12 at 11 04 04 PM

Screenshot 2022-03-12 at 11 04 14 PM

Screenshot 2022-03-12 at 11 04 38 PM

Screenshot 2022-03-12 at 11 04 45 PM

Screenshot 2022-03-12 at 11 05 04 PM

Screenshot 2022-03-12 at 11 05 28 PM

Screenshot 2022-03-12 at 11 05 47 PM

flower_identification_and_count's People

Contributors

anuhya101 avatar

Stargazers

 avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.