A Novel Approach for Image Segmentation based on Histograms computed from Hue-data
Viraj Mavani
Electronics and Communication Department, L. D. College of Engineering viraj.mavani1996@gmail.com Ayesha Gurnani
Electronics and Communication Department, L. D. College of Engineering ayeshagurnani1302@gmail.com Jhanvi Shah
Electronics and Communication Department, L. D. College of Engineering jhanvishah59@gmail.com Abstract–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
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INTRODUCTION
Image Segmentation is the first and an essential part of any computer vision problem. Due to the possibility of Computer Vision being applied to various day to day problems faced by humans, new methods to tackle them have become important. Image segmentation basically means extracting key information from an image for further processing while discarding the rest.
At the very beginning, we have proposed a new algorithm for image segmentation based on color details of an image. Our algorithm can be applied efficiently to those cases where major contributing feature of the subject is color and when there exists some amount of contrast between foreground and background. This algorithm follows an iterative approach for background removal thereby highlighting the subject.
We have performed experiments and have used our image segmentation algorithm on the Oxford University 102 Flower Category Database[1] and then further applied it to images from the Visipedia CUB 200-2011[2] Dataset. We got fine results in which the background of the image was completely removed and key foreground data was extracted.
II. PROPOSED
This novel skin lesion segmentation algorithm is designed to be used for images taken by a digital camera. The segmentation algorithm uses a set of learned texture distributions and their texture distinctiveness metric (TD metric). The representative texture distributions used to identify pixels that belong to the lesion and skin classes and to find the border of the skin lesion. The proposed segmentation algorithm is referred to as the Texture Distinctiveness Lesion Segmentation
There will be two images being discussed in this essay. The first image was called “9/11/2001” by Art Spiegelman and Francoise Mouly. The second image was “What So Proudly We Hailed” by Carter Goodrich. The reason these images were chosen was because they have many differences, but they also have a lot in common. This essay will contain the color, date, prices, color, and what are the similarities and differences between these two images.
The Toast, 01 Oct. 2015. Web. 11 Dec. 2015. Kaplan, Janice. "
This will be reflected in the following paragraphs.
The use of lighting and filters for colours is not just used for simple illumination but it is more meaningful. It helps to understand the characters and focus our attention on certain objects and actions. The colour can be used as a motif, an occurring manifestation in which the shades themselves become an important part of the story, reflecting emotions, altering situations and underlining scenes. (Bordwell, Thompson and Smith, n.d.)
Abstract— Face recognition is one of the most important biometric and face image is a biometrics physical feature use to identify people. Major and Minor segments of face space are eyes, nose and mouth. In biometrics quality face is the most imperative characteristic method for recognize individuals. High intra-class variety inside face pictures of the same individual is the significant issue in face distinguishment. Posture, statement and enlightenment are in charge of high intra-class variety.
A detailed analysis will be attached in the appendix (Appendix
Visual Analysis The first image: This image, The Ultimate Confrontation: The Flower and the Bayonet, was taken by French photographer Marc Riboud during the 1967 anti-Vietnam march in Washington D.C. First of all , it is not difficult to define it as a photojournalism, because Marc took it in order to record a true event and tell a news story. This one shows the anti-war activity in the National Mobilization Committee clearly, which is a historic event. At present, it still appears in some anti-war demonstrations used as an important symbol, such as the activity about against the Iraq War in London in February 2003, so it also has political significance.
These concept is also known as STP (Segmentation, Targeting
Descriptive Essay I have never thought that drawing would help me out in life until I tried it. The interest started when I was in second grade when I saw one of my best friends drawing. I am thankful for her, she is the one who taught me to be patient and practice makes perfect. It gets a little frustrating and overwhelming when your interest is there, but you are not good at it.
Has people's use of Photoshop gone too far? Is altering photos to make people unrealistically skinny a good idea? For years, many photos in magazines, advertisements, etc. have been altered, making models and celebrities blemish free and thin. But in some cases of retouched photos the outcome can be horrific, making the person very unprofessional and disturbing. But making models thinner than they actually are can have bad effects on the public.