Floor Detection Application
Output Images:
AI Model Segmented Images:
RND using MATLAB Programming
MATLAB Code start here
clc
clear all
close all;
% [a,b]=uigetfile('*.jpg','Segmented 1 image');
rgb=imread('\correct\10r.jpg');
figure,imshow(rgb)
title('Segmented image')
% Threshold
% Pixel 143 71 111 %% in gray 97
gray=rgb2gray(rgb);
figure,imshow(gray)
title('Segmented grayscale')
hl=gray<97;
hl=find(hl==1);
sz=size(gray)
mask=zeros(sz);
mask(hl)=255;
figure,imshow(mask)
title('binary image')
BW2 = bwareaopen(mask, 2945);
figure,imshow(BW2)
% se = strel('ball',2,5);
% se = strel('disk',2);
% afterOpening = imopen(mask,se);
% se = strel('disk',11);
% se2 = strel('line',3,90)
se = strel('disk',2);
se2 = strel('line',3,90)
IM2 = imdilate(BW2,se);
figure,imshow(IM2)
title('smoothed edge')
hls=find(IM2==1);
nohls=find(IM2==0);
edg_img=edge(IM2,'Canny');
figure,imshow(edg_img)
title('coordinate edge')
% [a1,b]=uigetfile('*.jpg','original');
% original=imread('correct\2.jpg');
% figure,imshow(original)
floor_img=imread('\tl2.jpg');
original=rgb;
red_l=original(:,:,1);
green_l=original(:,:,2);
blue_l=original(:,:,3);
red_l(hls)=255;
green_l(hls)=0.22;
blue_l(hls)=0.33;
seg=cat(3,red_l,green_l,blue_l);
figure,imshow(seg)
%% sheet read
% [ax,vx]=uigetfile('*.jpg');
% sheet=imread(ax);
sheet=imread('\tl2.jpg');
sh=size(rgb);
resz=imresize(sheet,sh(1:2));
r_resz=resz(:,:,1);
g_resz=resz(:,:,2);
b_resz=resz(:,:,3);
r_resz(nohls)=0;
g_resz(nohls)=0;
b_resz(nohls)=0;
recn=cat(3,r_resz,g_resz,b_resz);
red_l(hls)=0;
green_l(hls)=0;
blue_l(hls)=0;
figure,imshow(r_resz)
figure,imshow(red_l)
r1=imfuse(red_l,r_resz,'blend','Scaling','joint');
g1=imfuse(green_l,g_resz,'blend','Scaling','joint');
b1=imfuse(blue_l,b_resz,'blend','Scaling','joint');
recon=cat(3,r1,g1,b1);
figure,imshow(recon*2)
imwrite(recon*2,'rechanged8.jpg')
figure,imshow(imfuse(red_l,r_resz,'blend','Scaling','joint'))
Application Development using Python
Packages Installation:
1.Python 3.6
Packages:
pip install opencv-contrib-python=3.4.2.17
pip install pixellib
pip intall numpy
Module run:
Input parameters:
# model_root=r'.hf' ## model root
# input_imgdir='' ## Input Image root
# output_imgdir= '' ## Segment root
# sheet_image='' ## Floor sheet image root
# Smoothed_root='' # Final input root
How to use Packages Import ?
import floorgui
import imgmerg
image_segment(model_root,input_imgdir,output_imgdir,sheet_image,Smoothed_root)
How to Run:
Use Test.py-----Testing
Terminal : python Test.py
Model Download Link:
https://drive.google.com/file/d/1q6dZmlc6_H-B8i-yS_fGsXVQ8lFjy3zw/view?usp=sharing
Source Code Link:
How to read DICOM image in MATLAB ?
ReplyDeleteclc
Deleteclear all;
close all;
dicom_image=dicomread('slides.dcm');
figure,imshow(dicom)
How to read 4D dicom image in MATLAB?
ReplyDeleteclc
clear all;
close all;
dcm_imag=dicomread('dcmslids.dcm');
%% dcm_imag contains bellow N number of slides
%% 1024 X 1024 X 500
%% here third layer 500 its called slides
How to show 4D Dicom image in MATLAB?
DeleteHow can I read and show image as sequentially from folder using python [example images like 0.jpg, 1.jpg, 2.jpg,n.jpg?
ReplyDeleteYou can use like sorting and deserting function
Delete