A MRA-based Color Transformation Scheme between Objects

Author(s):  
Kai-Wen Chuang ◽  
Chen-Chung Liu ◽  
Guan-Nan Hu ◽  
Shyr-Shen Yu ◽  
Sheng-Wen Zheng
Keyword(s):  
Author(s):  
Aneel Narayanapur ◽  
Pavankumar Naik ◽  
Priya B Kori ◽  
Naseem Kalaburgi ◽  
Rubiya I M ◽  
...  

The detection of plant leaf is an very important factor to prevent serious outbreak. Automatic detection of plant disease is essential research topic. Most plant diseases are caused by fungi, bacteria, and viruses. Fungi are identified primarily from their morphology, with emphasis placed on their reproductive structures. Bacteria are considered more primitive than fungi and generally have simpler life cycles. With few exceptions, bacteria exist as single cells and increase in numbers by dividing into two cells during a process called binary fission Viruses are extremely tiny particles consisting of protein and genetic material with no associated protein. The term disease is usually used only for the destruction of live plants. The developed processing scheme consists of four main steps, first a color transformation structure for the input RGB image is created, this RGB is converted to HSI because RGB is for color generation and his for color descriptor. Then green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed. from SGDM matrices. Finally the presence of diseases on the plant leaf is evaluated.


2018 ◽  
Vol 59 (5) ◽  
pp. 1027-1042 ◽  
Author(s):  
Tuo Yang ◽  
Keting Li ◽  
Suxiao Hao ◽  
Jie Zhang ◽  
Tingting Song ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 280-287
Author(s):  
Minal Deshmukh, Prasad Khandekar, Nishikant Sadafale

Image Processing is a significantly desirable in commercial, industrial, and medical applications. Processor based architectures are inappropriate for real time applications as Image processing algorithms are quite intensive in terms of computations. To reduce latency and limitation in performance due to limited amount of memory and fixed clock frequency for synthesis in processor-based architecture, FPGA can be used in smart devices for implementing real time image processing applications. To increase speed of real time image processing custom overlays (Hardware Library of programmable logic circuit) can be designed to run on FPGA fabric. The IP core generated by the HLS (High Level Synthesis) can be implemented on a reconfigurable platform which allows effective utilization of channel bandwidth and storage. In this paper we have presented FPGA overlay design for color transformation function using Xilinx’s python productivity board PYNQ-Z2 to get benefit in performance over a traditional processor. Performance comparison of custom overlay on FPGA and Processor based platform shows FPGA execution yields minimum computation time.


2015 ◽  
Vol 37 ◽  
pp. 31-47 ◽  
Author(s):  
Francisco Javier López-Rubio ◽  
Ezequiel López-Rubio

2019 ◽  
Vol 186 (9) ◽  
Author(s):  
Dongying Li ◽  
Shuangpeng Wang ◽  
Fahad Azad ◽  
Lingzhi Zhao ◽  
Shichen Su

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