International Journal on Computational Science & Applications (IJCSA)

Automatic Fruit Recognition Based on DCNN for Commercial Source Trace System Israr Hussain, Qianhua He and Zhuliang Chen South China University of Technology, P. R.China ABSTRACT  Automatically fruit recognition by using machine vision is considered as challenging task due to similarities between various types of fruits and external environmental changes e-g lighting. In this paper, fruit recognition algorithm based on Deep Convolution Neural Network(DCNN) is proposed. Most of the previous techniques have some limitations because they were examined and evaluated under limited dataset, furthermore they have not considered external environmental changes. Another major contribution in this paper is that we established fruit images database having 15 different categories comprising of 44406 images which were collected within a period of 6 months by keeping in view the limitations of existing dataset under different real-world conditions. Images were directly used as input to DC...

ANALYSIS OF SOFTWARE QUALITY USING SOFTWARE METRICS    Ermiyas Birihanu Belachew 1 , Feidu Akmel Gobena 2 and Shumet Tadesse Nigatu 2 1 Wolkite University, Ethiopia 2 Polytechnic University of Catalonia, Spain ABSTRACT Software metrics have a direct link with measurement in software engineering. Correct measurement is the prior condition in any engineering fields, and software engineering is not an exception, as the size and complexity of software increases, manual inspection of software becomes a harder task. Most Software Engineers worry about the quality of software, how to measure and enhance its quality. The overall objective of this study was to asses and analysis’s software metrics used to measure the software product and process. In this Study, the researcher used a collection of literatures from various electronic databases, available since 2008 to understand and know the software metrics. Finally, in this study, the researcher has been identifie...

H S Prashantha  Professor, Department of Electronics & Communication Engineering,  Nitte Meenakshi Institute of Technology, Bangalore, India  ABSTRACT  Video summarization of the segmented video is an essential process for video thumbnails, video surveillance and video downloading. Summarization deals with extracting few frames from each scene and creating a summary video which explains all course of action of full video with in short duration of time. The proposed research work discusses about the segmentation and summarization of the frames. A genetic algorithm (GA) for segmentation and summarization is required to view the highlight of an event by selecting few important frames required. The GA is modified to select only key frames for summarization and the comparison of modified GA is done with the GA.  KEYWORDS  Video segmentation, video summarization, Genetic Algorithm, video streams Full Text