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Software Based - To Run with Computer Vision Program - Paper Brightness & Paper Whiteness Filter and Report

$250-750 USD

En curso
Publicado hace casi 3 años

$250-750 USD

Pagado a la entrega
Running digital images of black and white snaps of paper stock and want to use software to determine two measurements "Paper Brightness and Paper Whiteness". Needing images bulk loaded into the program and for images to be measured and reported on automatically. Need to remember the file name of the image and then append a PB code (PB + number value) and a PW code (PW + number value). The following are the definitions of Paper Brightness Versus Paper Whiteness: Paper brightness versus paper whiteness can be compared through the measure of light. Paper brightness refers to the papers ability to reflect light while paper whiteness refers to the quality of light -that is, the shade of the paper. What is Paper Brightness? The general understanding of brightness is the amount of light reflectance, usually based on a scale of 0-100%. The higher the number, the more “bright” a sheet is or that is to say, the higher amount of reflectance of blue light refers to the brightness of a sheet of paper. For example, paper with a higher measurement on the scale will reflect more blue light than a sheet of paper measuring less on the scale. This light reflectance is measured against specific wavelengths as opposed to all wavelengths of light like whiteness. Within the industry, there are 3 standards that measure paper brightness. Each standard uses different techniques and different equipment to achieve their brightness result and measurements are not interchangeable with one another. TAPPI/G.E Brightness: The North American standard that measures the brightness of paper as visible in an environment consisting of a mixture of cool-white fluorescent and some filtered daylight. The light will only hit the sheet of paper from one angle which means that this standard will always be lower than other standards. The UV of TAPPI brightness is also the lowest of all the measuring standards. ISO Brightness: ISO brightness is a European measuring standard that measures brightness in an environment with cool-white fluorescent and some unfiltered daylight. The light will hit the sample sheet from all different angles. Measurements can exceed 100% but not by a significant amount. Paper samples with the more fluorescent present will likely measure higher in brightness on the ISO scale compared with TAPPI. D65 Brightness: This measurement uses outdoor light because of the levels of UV present to interact with the fluorescent in the paper. Considering this, brightness levels can easily record over 100% making D65 scales much higher than TAPPI and ISO. What is Paper Whiteness? Paper whiteness refers to the amount of red, blue, and green reflectance that the eye can see when looking at a sheet of paper. Paper whiteness can be warm white if reflectance comprises of more reds; and cool white if it consists of more blues. The environment in which you view the sheet of paper will affect the amount of whiteness visible. In attempting to achieve more whiteness, OBAs (optical brightening agents) are added to a duller sheet of paper. In outdoor lighting, this sheet will appear much whiter than when viewing it indoors. The reverse applies. A sheet of paper that has an appropriate white base and low levels of OBAs will appear whiter indoors and duller outdoors. It is then fair to say that using different types of paper for one document may affect the aesthetics and quality of the final product, depending on when/where the document will be viewed.
ID del proyecto: 29952383

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6 propuestas
Proyecto remoto
Activo hace 3 años

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$0 USD en 7 días
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6 freelancers están ofertando un promedio de $497 USD por este trabajo
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Hi. This is George from Georgia. I am newbie here, but I have lots of experiences in image processing , so please contact me for discussion. Thanks
$500 USD en 7 días
5,0 (6 comentarios)
5,8
5,8
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Hi. I am a Machine Vision Expert. I am very familiar to Deep learning apis such as Tensorflow, TensorflowLite, TfLearn, keras, pytorch, and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building Image Processing, Speech Recognition and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. I usual using many technique and library, frameworks such as tensorflow, tesseract, machine learning such as CNN, DNN, FCRN, SVN etc. and I am generally not attached to programming language in working.(C++, C#, Linux, Python, Java, Android, RasPi ....) Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I am an individual contractor, not an agency. I think i am aware of your project in detail. Thanks for your job posting.
$500 USD en 7 días
5,0 (4 comentarios)
4,5
4,5
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Hi, Sir. I wish you are doing well. I have gone through your project details as well as the pictures. I have good knowledge about colorimetry, so I am sure I can do your project perfectly. Please contact me, and I'll help you. Looking forward your response. Thanks.
$500 USD en 7 días
5,0 (1 comentario)
3,6
3,6
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Hi, I hope you are doing fine. I have done many image processing and video processing projects in Matlab, Python, JAVA, etc. My PhD thesis was also visual analysis of human motion. I have also published several journal papers on the subject. You can see portfolio for my previous projects. If you are interested, Please contact with more information and we can discuss it more thoroughly. Thank you for taking time to go through my proposal and I hope to hear from you . Best regards.
$500 USD en 7 días
5,0 (2 comentarios)
2,9
2,9

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Bandera de UNITED STATES
Austin, United States
5,0
22
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Miembro desde mar 13, 2019

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