Code:

import pixellib

from pixellib.instance import instance_segmentation

import cv2

import matplotlib.pyplot as plt

instance_seg = instance_segmentation()

instance_seg.load_model(“Instant/mask_rcnn_coco.h5”)

segmask, output = instance_seg.segmentImage(image_path, show_bboxes= True)

plt.imshow(output)

plt.show()

cv2.imwrite(“img.jpg”, output)

Installation:

!pip install pixellib

!pip install opencv-python==3.4.2.17

Model Download Link: https://drive.google.com/file/d/1t_D5tpc8Apzrl6r-P217YNmSO3Bx_a_T/view?usp=sharing

Output & Discussion:

Input Image: https://drive.google.com/file/d/1XyT1Ku8X5q_o1iJ7xZmF7t1TSI7XLM51/view?usp=sharing

Output Image:

https://drive.google.com/file/d/1-87211tk-HhEAoSk-6UyUpe461vuOwIO/view?usp=sharing

Code:

function imgbgrm()

%% Developed by Selvakarna

% Image background removal version 0.01

% maile : electroselva@gmail.com //

% web url :www.sk-voxels.blogspot.in

% Chennai,India-42.

[a,b]=uigetfile(‘*’);

RGB=imread(a);

RGB=imresize(RGB,[512 512]);

while true()

imshow(RGB)

h1=imfreehand(gca);

foresub = getPosition(h1);

foregroundInd = sub2ind(size(RGB),foresub(:,2),foresub(:,1));

foregroundInd=single(foregroundInd);

hold on

h2=imfreehand(gca);

backsub = getPosition(h2);

backgroundInd = sub2ind(size(RGB),backsub(:,2),backsub(:,1));

backgroundInd=single(backgroundInd);

w = waitforbuttonpress;

if w==1

break

end

end

L = superpixels(RGB,500);

BW = lazysnapping(RGB,L,backgroundInd,foregroundInd);

maskedImage = RGB;

maskedImage(repmat(~BW,[1 1 3])) = 0;

figure;

imshow(maskedImage)

Code:

clc

clear all;

close all;

rgb=imread(‘yourimage.jpg’);

red_layer=rgb(:,:,1);

green_layer=rgb(:,:,2);

blue_layer=rgb(:,:,3);

figure,imshow(rgb);

title(‘Input RGB Image’);

figure,imshow(red_layer);

title(‘Red Layer’);

figure,imshow(green_layer);

title(‘Green_Layer’);

figure,imshow(blue_layer);

title(‘Blue_Layer’)