91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

  • 大小: 105KB
    文件類型: .rar
    金幣: 2
    下載: 0 次
    發布日期: 2021-05-25
  • 語言: Matlab
  • 標簽: SIM算法??Matlab??

資源簡介

在本文中我們展示 在人類視覺中一種有效的色彩外觀模型, 其中也包含原則性的參數選擇作為一種先天的空間聯合機制,可以被推廣 以獲得優于最新技術的顯著性模型楷模。尺度積分是通過逆小波變換實現的 通過一系列比例加權中心環繞響應。比例加權函數(稱為ECSF)已被優化以更好地復制心理物理數據顏色的外觀,和適當的尺寸中心環繞抑制窗口已被確定通過對眼睛固定數據訓練高斯混合模型,從而避免了特別的參數選擇。 論文:Saliency Estimation Using a Non-Parametric Low-Level Vision Model

資源截圖

代碼片段和文件信息

function?[w?c]?=?DWT(image?wlev)
%?Implementation?of?Mallate?Discrete?Wavelet?Transform.
%
%?outputs:
%???w:?cell?array?of?length?wlev?containing?wavelet?planes?in?3
%???orientations.
%???c:?cell?array?of?length?c?containing?residual?planes.
%
%?inputs:
%???image:?input?image?to?be?decomposed.
%???wlev:?#?of?wavelet?levels.

%?pad?image?so?that?dimensions?are?powers?of?2:
image?=?add_padding(image);

%?Defined?1D?Gabor-like?filter:
h?=?[1./16.1./4.3./8.1./4.1./16.];

energy?=?sum(h);
inv_energy?=?1/energy;
h?=?h*inv_energy;
w?=?cell(wlev1);
c?=?cell(wlev1);

for?s?=?1:wlev
????img_dim?=?size(image1);
????orig_image?=?image;
????inv_sum?=?1/sum(h);
???
????%?decimate?image?along?horizontal?direction
????prod?=?symmetric_filtering(image?h)*inv_sum;??????????%?blur
????HF?=?prod;
????tmp_prod?=?zeros(size(prod));
????tmp_prod(:1:2:img_dim)?=?prod(:1:2:img_dim);?????????%?downsample
????
????tmp_prod2?=?symmetric_filtering(tmp_prod?h)*inv_sum;??%?blur?downsampled?image?horizontally
????GF?=?image?-?2*tmp_prod2;??????????????????????????????%?horizontal?frequency?info????????????????????????????
????
????%?decimate?image?along?vertical?direction???
????prod?=?symmetric_filtering(HF?h‘)*inv_sum;????????????%?blur
????HHF?=?prod;
????tmp_prod?=?zeros(size(prod));
????tmp_prod(1:2:img_dim:)?=?prod(1:2:img_dim:);?????????%?downsample
????
????tmp_prod2?=?symmetric_filtering(tmp_prod?h‘)*inv_sum;?%?blur?downsampled?image?vertically
????GHF?=?HF?-?2*tmp_prod2;????????????????????????????????%?vertical?wavelet?plane
???
????%?decimate?GF?along?vertical?direction
????prod?=?symmetric_filtering(GF?h‘)*inv_sum;????????????%?blur?
????tmp_prod?=?zeros(size(prod));
????tmp_prod(1:2:img_dim:)?=?prod(1:2:img_dim:);?????????%?downsample
????
????HGF?=?2*symmetric_filtering(tmp_prod?h‘)*inv_sum;?????%?horizontal?wavelet?plane???????????????????????????????
???
????%?save?horizontal?and?vertical?wavelet?planes:
????w{s1}(::1)?=?HGF;
????w{s1}(::2)?=?GHF;
???
????%?Downsample?residual?image?HHF:
????HHF?=?HHF(1:2:img_dim1:2:img_dim);
???
????%?save?residual
????C??????=?HHF;
????c{s1}?=?C;
???
????%?upsample?residual?image:
????HHF?=?upsample(upsample(HHF2)‘2)‘;
???
????%?blur?with?vertical?filter:
????image?=?2*symmetric_filtering(HHF?h‘)*inv_sum;?
???
????%?blur?with?horizontal?filter:
????image?=?2*symmetric_filtering(image?h)*inv_sum;
???
????%?Create?and?save?wavelet?plane:
????DF?=?orig_image?-?(image?+?HGF?+?GHF);
????w{s1}(::3)?=?DF;
???
????%?Downsample?residual?image:
????image?=?HHF(1:2:img_dim1:2:img_dim);
???
end

end

function?image_padded?=?add_padding(image)
%?Pads?image?so?that?dimensions?are?powers?of?2.
%
%?outputs:
%???image_padded:?padded?image.
%
%?inputs:
%???image:?input?image.

[height?width]?=?size(image);

%?pad?image?when?dimensions?are?not?powers?of?2/equal?to?each?other:
nearest_pow?=?2^ceil(log2(max(widthheight)));
image_padded?=?zeros(nearest_pow);
image_padded(1:height1:width)?=?image;
image_padd

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

????.......?????65014??2016-01-07?07:59??SIM\3.jpg

????.......?????36922??2016-01-07?07:59??SIM\35.jpg

????.......??????3894??2016-01-07?07:59??SIM\DWT.m

????.......??????1512??2016-01-07?07:59??SIM\generate_csf.m

????.......??????1001??2016-01-07?07:59??SIM\IDWT.m

????.......??????1485??2016-01-07?07:59??SIM\README.txt

????.......??????1064??2016-01-07?07:59??SIM\rgb2opponent.m

????.......??????3957??2016-01-07?07:59??SIM\SIM.m

????.......???????730??2016-01-07?07:59??SIM\SIM_demo.m

????.......??????1050??2016-01-07?07:59??SIM\symmetric_filtering.m

?????目錄??????????0??2018-05-29?16:42??SIM

-----------?---------??----------?-----??----

???????????????116629????????????????????11


評論

共有 條評論