Wow!!! It gives an idea about Image Processing and its scope in today's world of digital technology. Really nice content and looking forward for more such interesting and informative videos
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Hi Josh, your question is very good. As per our understanding computer vision have better future prospects and some interesting applications. But image processing concepts have some basics everyone who is interested in image or video analytics should learn. So I would suggest start with some important concepts of image processing and then upgrade to computer vision , deep learning ,CNN.
What is best among these three? 1)Biomedical image processing 2)image processing 3) statistical signal processing Please help me sir..I need to choose one of them for my core elective
Hi Nandesh, Short answer to your question is select the elective on the basis of your interest and also keep in mind the job opportunity related to that elective. And if I have to give you my suggestion about each elective, then I would say biomedical is very specific domain and kindly select this domain if you are really interested in biomedical. Due to its specific domain the job opportunity is also limited. You can check out some example of biomedical imaging jobs on NBRC Manesar website. And as per my knowledge image processing is more of a general subject which covers image manipulation topics which can be used in any domain and now a days having image processing skillset with machine learning can get you good work nd payscale. For job opportunities you can look for any company doing camera based inspection of product or OCR for verification of Adhar and other documents and applications are endless. Job profile with this skill and approx 5 yrs of experience is Data scientist, computer vision engineer and AI engineer and you can get competitive payscale. I am not very much aware of statistical signal processing so I would not be able to add much about it. Thanks for your query I hope I have answered your question satisfactorily.
I am not sure what other 9 options are but as far as ML and image processing is concerned it's a good choice considering its demand in the market. Just make sure you are really interested in image data analysis. And another word of advice make sure to understand machine learning properly it will build your basics for the world of data science.
These are other 9 options btw, WIRELESS COMMUNICATION EMBEDDED SYSTEM DESIGN INTERNET OF THINGS VLSI DESIGN Hardware Security ROBOTICS AND AUTOMATION ENERGY SYSTEMS Data Science Cyber Security , I don't have much Idea about some of these, but all sound good.
Out of all the options other than ML and image processing , Data science seems promising with good future prospects. But I think image processing might keep you interested during the course as there will be visual results.
I would suggest to opt for soft computing or image processing. Because embedded systems and electronic jobs are quite limited. I have also did my education in electronics but found my interest in image processing and then evolved my career to machine learning and data science. So if you opt for soft computing or image processing it can help you transition to AI technology which are future technologies.
Hello, I have an image with 11x11 pixels. In the center of the image is a square of 5x5 pixels. The gray level of the background is 0 and the gray level of the square is 50. How can I compute the result of the magnitude of edges given by the compass operator for this image Taking into account that the image is not noisy?
When using compass edge detection the image is convolved with a set of (in general 8) convolution kernels, each of which is sensitive to edges in a different orientation. For each pixel the local edge gradient magnitude is estimated with the maximum response of all 8 kernels at this pixel location. For example take 8 orientations of sobel filter starting from 0degree to 315degrees and convolve each filter with 11X11 image and then consider the maximum magnitude out of 8 filters. I hope I am able to answer your question.
Hi Sonali, I think yes after doing PhD in image processing or computers vision it's very likely to get job in ISRO. I think ISRO also hire for scientist position with M.Tech degree as well. And ISRO have recently organized a course on image processing , satellite imaging and GIS for free kindly check it out. It could help you understand what technology they are using.
@@MATuinoR Sir, I have missed the courses organized by ISRO as I did not register earlier. Is there any other way to know about the technology they are using ?? What is process to get into ISRO after doing Ph.D. in Image Processing ? And what extra skill I have to need to get it. As I m from mathematics background.
I am not very sure of what exactly is the process of getting in ISRO after PhD. You can keep check of job posting on their website or you can find out which scientists are working in technology of your interest and find out if they have any upcoming openings in their projects. Try to connect with scientists and PhD scholars through LinkedIn to get some insight. If I will get something relevant I will post in reply.
