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Bird species identification using machine learning
Now A Day Some Bird Species Are Being Found Rarely And If Found Classification Of Bird Species Prediction Is Difficult. Naturally, Birds Present In Various Scenarios Appear In Different Sizes, Shapes, Colours, And Angles From Human Perspect...
REAL TIME GESTURE CONTROLLED ELECTRICAL AUTOMATION
Automation Is The Essential Need For The Present World. There Are Various Types Of Automation Like Building Automation, Industrial Automation, Home Automation, Artificial Intelligence Etc. However The Methods Used In Automating Are Complex...
IMAGE SEGMENTATION USING HYBRID APPROACH OF PAIRWISE CONSTRAINTS PROPAGATION AND CORRELATION CLUSTERING
Image Segmentation Is The Process Of Partitioning A Digital Image Into Multiple Segments Which Plays An Important Role In Applications Of Computer Vision, Objects Recognition, Object Tracking And Image Analysis. There Are A Large Number...
REVIEW ON IMAGE SEGMENTATION
Image Segmentation Is The Process Of Partitioning A Digital Image Into Multiple Segments Which Plays An Important Role In Applications Of Computer Vision, Objects Recognition, Object Tracking And Image Analysis. There Are A Large Number Of...
Efficient Segmentation Techniques for Optimized Colorization based Compression
We Are Proposing A New Scheme For The Colour Image Compression Which Uses The Colour Data From A Couple Of Representative Pixels To Train A Model That Predicts Colour Of The Remaining Of The Pixels. By Storing The Representative Pixels, The...
A SURVEY ON PERFORMANCE ANALYSIS OF IMAGE DENOISING IN WAVELET DOMAIN
An Important Part Of Digital Image Processing And Computer Vision Based Problems Is Image Denoising. So Image Denoising Should Possess Some Crucial Qualities. An Important Property Of Image Denoising Based Model Is That It Should Remove...
UNSUPERVISED OBJECT DETECTION IN VIDEO USING KALMAN FILTER
We Introduce An Unsupervised, Geodesic Distance Based, Salient Video Object Segmentation Method. Unlike Traditional Methods, Our Method Incorporates Saliency As Prior For Object Via The Computation Of Robust Geodesic Measurement. We Con...