A Novel Approach for Image Segmentation based on Histograms computed from Hue-data

07/30/2017
by   Viraj Mavani, et al.
0

Computer Vision is growing day by day in terms of user specific applications. The first step of any such application is segmenting an image. In this paper, we propose a novel and grass-root level image segmentation algorithm for cases in which the background has uniform color distribution. This algorithm can be used for images of flowers, birds, insects and many more where such background conditions occur. By image segmentation, the visualization of a computer increases manifolds and it can even attain near-human accuracy during classification.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 2

page 3

07/30/2014

Clustering Approach Towards Image Segmentation: An Analytical Study

Image processing is an important research area in computer vision. Image...
03/23/2016

Robust cDNA microarray image segmentation and analysis technique based on Hough circle transform

One of the most challenging tasks in microarray image analysis is spot s...
06/03/2019

Computing Valid p-values for Image Segmentation by Selective Inference

Image segmentation is one of the most fundamental tasks of computer visi...
10/13/2019

Slope Difference Distribution and Its Computer Vision Applications

Slope difference distribution (SDD) is computed from the one-dimensional...
06/01/2017

Line Profile Based Segmentation Algorithm for Touching Corn Kernels

Image segmentation of touching objects plays a key role in providing acc...
03/06/2013

On Considering Uncertainty and Alternatives in Low-Level Vision

In this paper we address the uncertainty issues involved in the low-leve...
01/09/2015

Filter Design and Performance Evaluation for Fingerprint Image Segmentation

Fingerprint recognition plays an important role in many commercial appli...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.