Color Image Segmentation without any Information Loss
Mohd. Junedul Haque1, Rakesh Ahuja2, Sachin Ahuja3

1Mohd. Junedul Haque*, CURIN, Chitkara University, Rajpura, Punjab, India.
2Rakesh Ahuja*, CURIN, Chitkara University, Rajpura, Punjab, India.
3Sachin Ahuja, CURIN, Chitkara University, Rajpura, Punjab, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1919-1923 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1059109119/2019©BEIESP | DOI: 10.35940/ijeat.A1059.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: We can partition the background from foreground and locate the objects of interest using image segmentation techniques. In other words we can say image segmentation is the process of grouping adjacent pixels in to segments. In this research we proposed a model which can differentiate maximum and minimum frequencies for both color and grayscale images without any information loss. After getting the result of both images, we will check which (gray scale image or color image) gives better performance to the image segmentation techniques. So, here we will take the two techniques edge detection and threshold. This research gives better result of segmentation by using the relationship discontinuous and similar pixel values.
Keywords: Image segmentation, color image, gray scale image, medical images.