Measure Surface Roughness from 2.5 D images with Image processing/Deep Learning

I need Someone in the area of determining the roughness of the surface using an optical system with Python.

I'm trying to measure surface roughness from an 2.5 D image, with use fractal Dimension Algorithm.

And The data for the micro structural characterisation come from a laser scanning microscope.

That means you take measurements of the turbine blade surface for work.

There is two-dimensional 2.5-D roughness data. These data then have to be processed with various algorithms in order to characterise the surface.

Beceriler: Python, Machine Learning (ML), Image Processing, Mekatronik, Deep Learning

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İşveren Hakkında:
( 0 değerlendirme ) Ahmedabad, India

Proje NO: #31537488

Bu iş için 9 freelancer ortalamada ₹27778 teklif veriyor


Hello. I am a machine learning and computer vision expert and I can make perfect result for you. Please leave message for further discussion. Binh

₹25000 INR in 7 gün içinde
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Image processing , Deep learning Expert. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you are an Daha Fazla

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AN EXPERT IN PYTHON HELLO DEAR CLIENT, MASTER IN ENGINEERING AN STASTICS Hi there! Thank you for sharing your project requirement, I have carefully read the project description and I would like to take part in this pr Daha Fazla

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*********** Hi. I am a data scientist. I am very familiar to Deep learning apis such as Tensorflow and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Dat Daha Fazla

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₹30000 INR in 7 gün içinde
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Hi, I have extensive experience working with Python and machine learning. I can do task within budget and timeline. Please ping me to discuss further.

₹15000 INR in 8 gün içinde
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Hi, It is easy,I can do on time.I work online, where you can track progress of your project.I have 6 years of experience in development(websites,web applications,mobile apps, desktop applications,UI/UX), using PHP, Wor Daha Fazla

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