BEST IMAGE PROCESSING TOOLS TO EXPECT in 2023 – Tutors India

1
TOP 13 IMAGE PROCESSING TOOLS TO EXPECT IN 2023
An Academic presentation by Dr. Nancy Agnes,
Head, Technical Operations, Tutors India Group
www.tutorsindia.com Email info_at_tutorsindia.com
2
INTRODUCTION
As the name suggests, processing an image entails
a number of steps before we reach our goal. The
end result may be an image or a feature that is
similar to that image. Additional research and
decision-making can be done using this
information. Below are the best image processing
tools used in machine learning.
3
Figure1 Best image Processing Tools Used in
Machine Learning
4
OPENCV
A popular library that is simple to use is
multi-platform. It flawlessly integrates with
C and Python and provides all the essential
methods and algorithms needed to complete a few
image and video processing tasks (Salvi et al.,
2021) .
MATLAB Since it allows for rapid prototyping,
Matlab is a great tool for creating image
processing systems and is extensively used in
research. Another interesting point is how much
shorter Matlab code is than C code, making it
simpler to read and troubleshoot. It addresses
errors prior to execution by offering a number
of options to expedite the process.
5
CUDA
NVIDIA, which is fast, highly efficient, and easy
to program, serves as the foundation for
parallel computing. It gives outstanding
performance by utilizing GPU power. Incorporated
into its toolset is the NVIDIA Performance
Primitives library, which offers a variety of
image, signal, and video processing techniques
(Abdulrahman et al., 2021) . TENSORFLOW The
most used deep learning and machine learning
library currently in use is this one. It quickly
gained popularity and surpassed competing
libraries due to the ease of use of the API. The
differential programming and data stream library
TensorFlow is open-source and free. It is a
symbolic math library that is utilized by neural
networks and other machine learning applications.
6
TensorFlow 2.0 encourages the use of pre-built
models for a variety of applications, including
object detection, reinforcement learning, voice
and picture recognition. These reference models
give you the ability to employ certain best
business practices and act as a platform for
creating your superior solutions (Reinke et al.,
2021) .
SIMPLECV A system for creating computer vision
applications is called SimpleCV. It provides
access to several computer vision technologies
on any OpenCV, pygame, and other platforms. You
need this program if all you need to do is finish
the task and you don't want to learn all the
specifics of image processing. SimpleCV is the
best option if rapid prototyping is required.
7
PYTORCH
Machine learning open-source platform PyTorch.
The process is designed to accelerate the
transition from a research prototype to
commercial development. Easy production
transition Performance enhancement with
distributed adaptive learning Thriving ecosystem
for tools and libraries Excellent support for the
primary cloud platforms Optimization modules and
independent differentiation
8
KERAS
Tensorflow, Theano, and CNTK are just a few of
the libraries that Keras, a deep learning Python
library, includes. In comparison to competitors
like Scikit-learn and PyTorch, Keras has an
advantage because it is developed on top of
Tensorflow. Any of the following can be utilized
with Keras TensorFlow, Microsoft Cognitive
Toolkit, Theano, or PlaidML. It is made for
quick deep neural network experimentation and
places a premium on convenience, quantitative
quality, and extensibility. Keras adheres to best
practices for decreasing cognitive load by
offering stable and basic APIs and limiting the
amount of user involvement required for typical
use cases (Zhang, 2021).
9
THEANO
Theano is a swift Python numerical library that
may be utilized with a CPU or GPU. At the
Canadian University of Montreal, it was created
by the LISA group, which is now known as MILA.
Theano is a developing compiler for controlling
and assessing mathematical expressions,
particularly those using matrix values.
EMGUCV
EmguCV is a platform-agnostic image processing
program. a Net extension for OpenCV. IronPython,
C, VB, and VC are among the.NET compatible
languages that it supports. It runs on Windows,
Linux, Mac OS, iOS, and Android platforms. It is
also compatible with Visual Studio, Xamarin
Studio, and Unity.
10
GPUIMAGE
It is an OpenGL ES 2.0-based framework that
enables the addition of GPU-accelerated effects
and channels to the live-act video side, still
images, and motion pictures. To set up and keep
running custom channels on a GPU, a significant
amount of code must be developed. YOLO "You
Just Look Once" (YOLO), an approach to object
detection, was created with real-time processing
in mind. Joseph Redmon and Ali Farhadi,
researchers at the University of Washington,
created the advanced real-time object detection
technology known as YOLO. Their method uses a
neural network to divide the entire image into
districts with the found items, leaving imprints
of those districts on the grid (Ding et al.,
2021) .
11
VXL
VXL is a collection of open-source C libraries.
This image editing application has the ability to
open, save, and edit photos in a variety of
frequently used file types, including huge
images. Geometry for points, curves, and other
fundamental objects in 1, 2, or 3
dimensions. Camera physics regaining stability
following movement Implementing a graphical user
interface 3D topology pictures
12
BOOFCV
BoofCV is an open-source Java framework with an
Apache 2.0 license that may be used for both
professional and academic real-time robotics and
computer vision applications. Structure-from-moti
on, feature tracking, camera alignment, and
efficient low-level image processing techniques
are some of its features (C et al., 2022) .
13
CONCLUSION
Deep learning's use of Broadway lingo and
advances in image processing are changing the
world. This is just the beginning of the
learning process because scientists are
constantly creating better techniques to optimize
the entire field of image processing. All the
tasks you must accomplish can be completed using
a variety of image processing techniques. Lookin
g to write a research proposal on image
processing techniques? At tutorsindia, Our
expertise will assist you from identifying
problem to the research solutions
14
REFERENCES
Abdulrahman, A.A., Rasheed, M. Shihab, S.
(2021). The Analytic of Image Processing
Smoothing Spaces Using Wavelet. Journal of
Physics Conference Series. Online. 1879 (2).
pp. 022118. Available from https//iopscience.io
p.org/article/10.1088/1742-6596/1879/2/022118. C,
D., N, N.U., Maddikunta, P.K.R., Gadekallu, T.R.,
Iwendi, C., Wei, C. Xin, Q. (2022).
Identification of malnutrition and prediction of
BMI from facial images using real-time image
processing and machine learning. IET
Image Processing. Online. 16 (3). pp. 647658. A
vailable from https//onlinelibrary.wiley.com/do
i/10.1049/ipr2.12222. Ding, K., Ma, K., Wang, S.
Simoncelli, E.P. (2021). Comparison of
full-reference image quality models for
optimization of image processing systems.
International Journal of Computer Vision.
Online. 129 (4). pp. 1258 1281. Available
from https//link.springer.com/article/10.1007/s1
1263-020-01419-7. Reinke, A., Tizabi, M.D.,
Sudre, C.H., Eisenmann, M., Radsch, T.,
Baumgartner, M., Acion, L., Antonelli, M.,
Arbel, T. Bakas, S. (2021). Common limitations
of image processing metrics A picture story.
arXiv preprint arXiv2104.05642. Online.
Available from https//arxiv.org/abs/2104.05642.
Salvi, M., Acharya, U.R., Molinari, F.
Meiburger, K.M. (2021). The impact of pre- and
post-image processing techniques on deep
learning frameworks A comprehensive review for
digital pathology image analysis. Computers in
Biology and Medicine. Online. 128. pp. 104129.
Available from https//linkinghub.elsevier.com/r
etrieve/pii/S0010482520304601. Zhang, Y.-J.
(2021). Image Engineering. In Handbook of Image
Engineering. Online. Singapore Springer
Singapore, pp. 5583. Available from
http//link.springer.com/10.1007/978-981-15-5873-3
_2.
15
CONTACT US
UNITED KINGDOM 44-1143520021 INDIA 91-444813707
0 EMAIL info_at_tutorsindia.com