International Journal on Soft Computing ( IJSC ): November 2021

Thursday, 25 November 2021

Skin Detection Of Animation Characters

Kazi Tanvir Ahmed Siddiqui1 and Abu Wasif2

1Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh

2Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

ABSTRACT

The increasing popularity of animes makes it vulnerable to unwanted usages like copyright violations and pornography. That’s why, we need to develop a method to detect and recognize animation characters. Skin detection is one of the most important steps in this way. Though there are some methods to detect human skin color, but those methods do not work properly for anime characters. Anime skin varies greatly from human skin in color, texture, tone and in different kinds of lighting. They also vary greatly among themselves. Moreover, many other things (for example leather, shirt, hair etc.), which are not skin, can have color similar to skin. In this paper, we have proposed three methods that can identify an anime character’s skin more successfully as compared with Kovac, Swift, Saleh and Osman methods, which are primarily designed for human skin detection. Our methods are based on RGB values and their comparative relations.

KEYWORDS

Animation; Skin color detection; Image Processing; Skin color classifier; RGB based skin detection

Original Source URL: https://airccse.org/journal/ijsc/papers/6115ijsc04.pdf

https://airccse.org/journal/ijsc/current2015.html

#softcomputing #imageprocessing #animation

Wednesday, 17 November 2021

Multiobjective Flexible Job Shop Scheduling Using A Modified Invasive Weed Optimization

Souad Mekni1 and Besma Chaâr Fayéch 1

1National School of Engineering of Tunis, Tunisia, LR-ACS-ENIT

ABSTRACT

Recently, many studies are carried out with inspirations from ecological phenomena for developing optimization techniques. The new algorithm that is motivated by a common phenomenon in agriculture is colonization of invasive weeds. In this paper, a modified invasive weed optimization (IWO) algorithm is presented for optimization of multiobjective flexible job shop scheduling problems (FJSSPs) with the criteria to minimize the maximum completion time (makespan), the total workload of machines and the workload of the critical machine. IWO is a bio-inspired metaheuristic that mimics the ecological behaviour of weeds in colonizing and finding suitable place for growth and reproduction. IWO is developed to solve continuous optimization problems that’s why the heuristic rule the Smallest Position Value (SPV) is used to convert the continuous position values to the discrete job sequences. The computational experiments show that the proposed algorithm is highly competitive to the state-of-the-art methods in the literature since it is able to find the optimal and best-known solutions on the instances studied.

KEYWORDS

Invasive Weed Optimization, Metaheuristics, Multiobjective optimization, Flexible job shop scheduling problem, Smallest Position Value.

Original Source URL: https://airccse.org/journal/ijsc/papers/6115ijsc03.pdf

https://airccse.org/journal/ijsc/current2015.html